The State of the World's Children 2009: Maternal and Newborn Health

THE STATE OF THE WORLD’S CHILDREN 2009

Maternal and Newborn Health

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© United Nations Children’s Fund (UNICEF) December 2008 Permission to reproduce any part of this publication is required. Please contact: Division of Communication, UNICEF 3 United Nations Plaza, New York, NY 10017, USA Tel: (+1-212) 326-7434 Email: [email protected] Permission will be freely granted to educational or non-profit organizations. Others will be requested to pay a small fee. Commentaries represent the personal views of the authors and do not necessarily reflect positions of the United Nations Children’s Fund. For any corrigenda found subsequent to printing, please visit our website at <www.unicef.org/publications> For any data updates subsequent to printing, please visit <www.childinfo.org> ISBN: 978-92-806-4318-3 Sales no.: E.09.XX.1

United Nations Children’s Fund 3 United Nations Plaza New York, NY 10017, USA Email: [email protected] Website: www.unicef.org Cover photo: © UNICEF/HQ04-1216/Ami Vitale

THE STATE OF THE WORLD’S CHILDREN 2009

Acknowledgements This report was made possible with the advice and contributions of many people, both inside and outside UNICEF. Important contributions were received from the following UNICEF field offices: Afghanistan, Bangladesh, Benin, Brazil, Burundi, Central African Republic, Chad, Côte d’Ivoire, Ghana, Guatemala, Haiti, India, Indonesia, Kenya, Lao People’s Democratic Republic, Liberia, Madagascar, Mexico, Morocco, Mozambique, Nepal, Niger, Nigeria, Occupied Palestinian Territory, Pakistan, Peru, Rwanda, Sierra Leone, Sri Lanka, Sudan, Togo, Tunisia and Uganda. Input was also received from UNICEF regional offices and the Innocenti Research Centre. Special thanks to H. M. Queen Rania Al Abdullah of Jordan, the Honourable Vabah Gayflor, Zulfiqar A. Bhutta, Sarah Brown, Jennifer Harris Requejo, Joy Lawn, Mario Merialdi, Rosa Maria Nuñez-Urquiza and Cesar G. Victora.

EDITORIAL AND RESEARCH

PROGRAMME AND POLICY GUIDANCE

Patricia Moccia, Editor-in-Chief; David Anthony, Editor; Chris Brazier; Marilia Di Noia; Hirut Gebre-Egziabher; Emily Goodman; Yasmine Hage; Nelly Ingraham; Pamela Knight; Amy Lai; Charlotte Maitre; Meedan Mekonnen; Gabrielle Mitchell-Marell; Kristin Moehlmann; Michelle Risley; Catherine Rutgers; Karin Shankar; Shobana Shankar; Judith Yemane

UNICEF Programme Division, the Division of Policy and Practice and Innocenti Research Centre, with particular thanks to Nicholas Alipui, Director, Programme Division; Dan Rohrmann, Deputy Director, Programme Division; Maniza Zaman, Deputy Director, Programme Division; Peter Salama, Associate Director, Health; Jimmy Kolker, Associate Director, HIV and AIDS; Clarissa Brocklehurst, Associate Director, Water, Sanitation and Hygiene; Werner Schultink, Associate Director, Nutrition; Touria Barakat; Linda Bartlett; Wivina Belmonte; Robert Cohen; Robert Gass; Asha George; Christine Jaulmes; Grace Kariwiga; Noreen Khan; Patience Kuruneri; Nuné Mangasaryan; Mariana Muzzi; Robin Nandy; Shirin Nayernouri; Kayode Oyegbite; David Parker; Luwei Pearson; Ian Pett; Bolor Purevdorj; Melanie Renshaw; Daniel Seymour; Fouzia Shafique; Judith Standley; David Stewart; Abdelmajid Tibouti; Mark Young; Alex Yuster

STATISTICAL TABLES Tessa Wardlaw, Chief, Strategic Information, Division of Policy and Practice; Priscilla Akwara; Danielle Burke; Xiaodong Cai; Claudia Cappa; Ngagne Diakhate; Archana Dwivedi; Friedrich Huebler; Rouslan Karimov; Julia Krasevec; Edilberto Loaiza; Rolf Luyendijk; Nyein Nyein Lwin; Maryanne Neill; Holly Newby; Khin Wityee Oo; Emily White Johansson; Danzhen You

PRODUCTION AND DISTRIBUTION Jaclyn Tierney, Chief, Production and Translation; Edward Ying, Jr.; Germain Ake; Fanuel Endalew; Eki Kairupan; Farid Rashid; Elias Salem

DESIGN AND PRE-PRESS PRODUCTION

TRANSLATION

PRINTING

French edition: Marc Chalamet Spanish edition: Carlos Perellón

Colorcraft of Virginia, Inc.

Prographics, Inc.

DEDICATION The State of the World’s Children 2009 is dedicated to Allan Rosenfield, MD, Dean Emeritus, Mailman School of Public Health, Columbia University, who passed away on 12 October 2008. A pioneer in the field of public health, Dr. Rosenfield worked tirelessly to avert maternal deaths and provide care and treatment for women and children affected by HIV and AIDS in resource-poor settings. He lent his energy and intellect to numerous groundbreaking programmes and institutions, and his passion, dedication, courage and commitment to bringing women’s health and human rights to the fore of development remain a source of inspiration.

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Foreword

The State of the World’s Children 2009 focuses on maternal and neonatal health and identifies the interventions and actions that must be scaled up to save lives. Most maternal and neonatal deaths can be averted through proven interventions – including adequate nutrition, improved hygiene practices, antenatal care, skilled health workers assisting at births, emergency obstetric and newborn care, and post-natal visits for both mothers and newborns – delivered through a continuum of care linking households and communities to health systems. Research indicates that around 80 per cent of maternal deaths are preventable if women have access to essential maternity and basic health-care services. A stronger focus on Africa and Asia is imperative to accelerate progress on maternal and newborn health. These two continents present the greatest challenges to the survival and health of women and newborns, accounting for an estimated 95 per cent of maternal deaths and around 90 per cent of neonatal deaths. Two thirds of all maternal deaths occur in just 10 countries; India and Nigeria together account for one third of maternal deaths worldwide. In 2008, UNICEF, the World Health Organization, the United Nations Population Fund and the World Bank agreed to work together to help accelerate progress on maternal and newborn health in the 25 countries with the highest rates of mortality.

Premature pregnancy and motherhood pose considerable risks to the health of girls. The younger a girl is when she becomes pregnant, the greater the health risks for herself and her baby. Maternal deaths related to pregnancy and childbirth are an important cause of mortality for girls aged 15–19 worldwide, accounting for nearly 70,000 deaths each year. Early marriage and pregnancy, HIV and AIDS, sexual violence and other gender-related abuses also increase the risk that adolescent girls will drop out of school. This, in turn, entrenches the vicious cycle of gender discrimination, poverty and high rates of maternal and neonatal mortality.

© UNICEF/HQ05-0653/Nicole Toutounji

Niger has the highest lifetime risk of maternal mortality of any country in the world, 1 in 7. The comparable risk in the developed world is 1 in 8,000. Since 1990, the base year for the Millennium Development Goals, an estimated 10 million women have died from complications related to pregnancy and childbirth, and some 4 million newborns have died each year within the first 28 days of life. Advances in maternal and neonatal health have not matched those of child survival, which registered a 27 per cent reduction in the global under-five mortality rate between 1990 and 2007.

Educating girls and young women is one of the most powerful ways of breaking the poverty trap and creating a supportive environment for maternal and newborn health. Combining efforts to expand coverage of essential services and strengthen health systems with actions to empower and protect girls and women has real potential to accelerate progress.

As the 2015 deadline for the Millennium Development Goals draws closer, the challenge for improving maternal and newborn health goes beyond meeting the goals; it lies in preventing needless human tragedy. Success will be measured in terms of lives saved and lives improved.

Ann M. Veneman Executive Director United Nations Children’s Fund

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CONTENTS Acknowledgements ......................................................................ii Dedication ......................................................................................ii Foreword Ann M. Veneman Executive Director, UNICEF ......................................................iii

Adapting maternity services to the cultures of rural Peru........42 Southern Sudan: After the peace, a new battle against maternal mortality ........................................................................43

Figures 2.1 The continuum of care ........................................................27

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Maternal and newborn health: Where we stand ......................................................1

Panels Challenges in measuring maternal deaths ..................................7 Creating a supportive environment for mothers and newborns by H. M. Queen Rania Al Abdullah of Jordan, UNICEF’s Eminent Advocate for Children ..................................11 Maternal and newborn health in Nigeria: Developing strategies to accelerate progress ................................................19

2.2 Although improving, the educational status of young women is still low in several developing regions ............30 2.3 Gender parity in attendance has improved markedly, but there are still slightly more girls than boys out of primary school ......................................................................33 2.4 Child marriage is highly prevalent in South Asia and sub-Saharan Africa ..............................................................34 2.5 Female genital mutilation/cutting, though in decline, is still prevalent in many developing countries ................37 2.6 Mothers who received skilled attendance at delivery, by wealth quintile and region ............................................38

Prioritizing maternal health in Sri Lanka ....................................21

2.7 Women in Mali receiving three or more antenatal care visits, before and after the implementation of the Accelerated Child Survival and Development (ACSD) initiative....................................................................39

The centrality of Africa and Asia in the global challenges for children and women ..............................................................22

2.8 Many women in developing countries have no say in their own health-care needs............................................40

Expanding Millennium Development Goal 5: Universal access to reproductive health by 2015 ......................................20

The global food crisis and its potential impact on maternal and newborn health ....................................................................24

Figures 1.1 Millennium Development Goals on maternal and child health ......................................................................................3

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The continuum of care across time and location: Risks and opportunities ............................................................45

1.2 Regional distribution of maternal deaths ............................6

Panels

1.3 Trends, levels and lifetime risk of maternal mortality ........8

Eliminating maternal and neonatal tetanus ..............................49

1.4 Regional rates of neonatal mortality ..................................10

Hypertensive disorders: Common yet complex ........................53

1.5 Direct causes of maternal deaths, 1997–2002....................14 1.6 Direct causes of neonatal deaths, 2000 ..............................15 1.7 Conceptual framework for maternal and neonatal mortality and morbidity ......................................................17 1.8 Food prices have risen sharply across the board..............24

The first 28 days of life by Zulfiqar A. Bhutta, Professor and Chairman, Department of Paediatrics & Child Health, Aga Khan University, Karachi, Pakistan......................................57 Midwifery in Afghanistan ............................................................60 Kangaroo mother care in Ghana ................................................62 HIV/malaria co-infection in pregnancy ......................................63

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Creating a supportive environment for maternal and newborn health ..........25

The challenges faced by adolescent girls in Liberia by the Honourable Vabah Gayflor, Minister of Gender and Development, Liberia ..................................................................64

Panels

Figures

Promoting healthy behaviours for mothers, newborns and children: The Facts for Life guide ........................................29

3.1 Protection against neonatal tetanus ....................................48

Primary health care: 30 years since Alma-Ata ..........................31

3.2 Antiretroviral prophylaxis for HIV-positive mothers to prevent mother-to-child transmission of HIV ....................50

Addressing the health worker shortage: A critical action for improving maternal and newborn health ............................35

3.3 Antenatal care coverage ........................................................51

Towards greater equity in health for mothers and newborns by Cesar G. Victora, Professor of Epidemiology, Universidade Federal de Pelotas, Brazil ....................................38

3.5 Emergency obstetric care: Rural Caesarean section ..........54

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3.4 Delivery care coverage ..........................................................52 3.6 Early and exclusive breastfeeding ........................................59

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Strengthening health systems to improve maternal and newborn health ......................................................67

Panels Using critical link methodology in health-care systems to prevent maternal deaths by Rosa Maria Nuñez-Urquiza, National Institute of Public Health, Mexico ................................73 New directions in maternal health by Mario Merialdi, World Health Organization, and Jennifer Harris Requejo, Partnership for Maternal, Newborn and Child Health ..............75 Strengthening the health system in the Lao People’s Democratic Republic ....................................................................76 Saving mothers and newborn lives – the crucial first days after birth by Joy Lawn, Senior Research and Policy Advisor, Saving Newborn Lives/Save the Children-US, South Africa ....80 Burundi: Government commitment to maternal and child health care ....................................................................................83 Integrating maternal and newborn health care in India ..........85

Partnering for mothers and newborns in the Central African Republic............................................................................99 UN agencies strengthen their collaboration in support of maternal and newborn health ..............................................102 Enhancing health information systems: The Health Metrics Network..........................................................................105

Figures 5.1 Key global health initiatives aimed at strengthening health systems and scaling up essential interventions ....97 5.2 Official development assistance for maternal and neonatal health has risen rapidly since 2004 ....................98 5.3 Nutrition, PMTCT and child health have seen substantial rises in financing ............................................100 5.4 Financing for maternal, newborn and child health from global health initiatives has increased sharply in recent years ....................................................................101 5.5 Focal and partner agencies for each component of the continuum of maternal and newborn care and related functions ................................................................103

References ..............................................................................106

Figures 4.1 Emergency obstetric care: United Nations process indicators and recommended levels ..................................70

Statistical Tables ........................................................113

4.2 Distribution of key data sources used to derive the 2005 maternal mortality estimates ....................................71

Table 1. Basic indicators ........................................................118

4.3 Skilled health workers are in short supply in Africa and South-East Asia in particular ......................................74

Table 3. Health ........................................................................126

4.4 Uptake of key maternal, newborn and child health policies by the 68 Countdown to 2015 priority countries ..................................................................78 4.5 Asia has among the lowest levels of government spending on health care as a share of overall public expenditure ..........................................................................79 4.6 Post-natal care strategies: Feasibility and implementation challenges ................................................81 4.7 Lower-income countries pay most of their private health-care spending out of pocket ....................................82

Under-five mortality rankings................................................117 Table 2. Nutrition ....................................................................122 Table 4. HIV/AIDS....................................................................130 Table 5. Education ..................................................................134 Table 6. Demographic indicators ..........................................138 Table 7. Economic indicators ................................................142 Table 8. Women ......................................................................146 Table 9. Child protection ........................................................150 Table 10. The rate of progress ..............................................154

Acronyms

................................................................................158

4.8 Low-income countries have only 10 hospital beds per 10,000 people ................................................................84

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Working together for maternal and newborn health ......................................................91

Panels Working together for maternal and newborn health by Sarah Brown, Patron of the White Ribbon Alliance for Safe Motherhood and wife of Gordon Brown, Prime Minister of the Government of the United Kingdom ..............................94 Key global health partnerships for maternal and newborn health ............................................................................96

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© UNICEF/HQ06-2706/Shehzad Noorani

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Maternal and newborn health: Where we stand

Each year, more than half a million women die from causes related to pregnancy and childbirth, and nearly 4 million newborns die within 28 days of birth. Millions more suffer from disability, disease, infection and injury. Cost-effective solutions are available that could bring rapid improvements, but urgency and commitment are required to implement them and to meet the Millennium Development Goals related to maternal and child health. The first chapter of The State of the World’s Children 2009 examines trends and levels of maternal and neonatal health in each of the major regions, using mortality ratios as benchmark indicators. It briefly explores the main proximal and underlying causes of maternal and neonatal mortality and morbidity, and outlines a framework for accelerating progress.

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regnancy and childbirth are generally times of joy for parents and families. Pregnancy, birth and motherhood, in an environment that respects women, can powerfully affirm women’s rights and social status without jeopardizing their health. The enabling environment for safe motherhood and childbirth depends on the care and attention provided to pregnant women and newborns by communities and families, the acumen of skilled health personnel and the availability of adequate health-care facilities, equipment, and medicines and emergency care when needed. Many women in the developing world – and most women in the world’s least developed countries – give birth at home without skilled attendants, yet their newborns are usually healthy and survive past their first few weeks of life until their fifth birthday and beyond. Despite the multitude of risks associated with pregnancy and childbirth, the majority of mothers also survive. 2

But the health risks associated with pregnancy and childbirth are far greater in developing countries than in industrialized ones. They are especially prevalent in the least developed and lowest-income countries, and among less affluent and marginalized families and communities everywhere. Globally, efforts to reduce deaths among women from complications related to pregnancy and childbirth have been less successful than other areas of human development – with the result that having a child remains among the most serious health risks for women. On average, each day around 1,500 women die from complications related to pregnancy and childbirth, most of them in sub-Saharan Africa and South Asia. The divide between industrialized countries and developing regions – particularly the least developed countries – is perhaps greater on maternal mortality than on almost any other issue. This claim is borne out by the numbers: Based on 2005 data, the average lifetime risk of a woman in a least developed country dying from

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complications related to pregnancy or childbirth is more than 300 times greater than for a woman living in an industrialized country. No other mortality rate is so unequal. Millions of women who survive childbirth suffer from pregnancyrelated injuries, infections, diseases and disabilities, often with lifelong consequences. The truth is that most of these deaths and conditions are preventable – research has shown that approximately 80 per cent of maternal deaths could be averted if women had access to essential maternity and basic health-care services.1 Deaths of newborns in developing countries have also received far too little attention. Almost 40 per cent of under-five deaths – or 3.7 million in 2004, according to the latest World Health Organization estimates – occur in the first 28 days of life. Three quarters of neonatal deaths take place in the first seven days, the early neonatal period; most of these are also preventable.2

The gap in risk of maternal death between the industrialized world and many developing countries, particularly the least developed, is often termed the ‘greatest health divide in the world’.

The divide in neonatal deaths between the industrialized countries and developing regions is also wide. Based on 2004 data, a child born in a least developed country is almost 14 times more likely to die during the first 28 days of life than one born in an industrialized country. The health of mothers and newborns is intricately related, so preventing deaths requires, in many cases, implementing the same interventions. These include such essential measures as antenatal care, skilled attendance at birth, access to emergency obstetric care when necessary, adequate nutrition, post-partum care, newborn care and education to improve health, infant feeding and care, and hygiene behaviours. To be truly effective and sustainable, however, these interventions must take place within a development framework that strives to strengthen and integrate programmes with health systems and an environment supportive of women’s rights. A human rights-based approach to improving maternal and neonatal health focuses on enhancing healthcare provision, addressing gender discrimination and inequities in society through cultural, social and behavioural changes, among other means, and targeting those countries and communities most at risk. The State of the World’s Children 2009 examines maternal and new-

born health across the world, and in the developing world in particular, complementing last year’s report on child survival. While the emphasis of the report remains firmly on health and nutrition, mortality rates are employed as benchmark indicators. Sub-Saharan Africa and South Asia, the regions with the highest numbers and rates of maternal and newborn mortality, are principal focuses. Key threads running through the report are the imperative of creating a supportive environment for maternal

and newborn health based on respect for women’s rights, and the need to establish a continuum of care for mothers, newborns and children that integrate programmes for reproductive health, safe motherhood, newborn care and child survival, growth and development. The report examines the latest paradigms, policies and programmes and describes key initiatives and partnerships that are striving to accelerate progress. A series of panels, several of which have been contributed by guest collaborators,

Figure 1.1

Millennium Development Goals on maternal and child health Millennium Development Goal 4: Reduce child mortality Targets

Indicators 4.1 Under-five mortality rate

4.A: Reduce by two thirds, between 1990 and 2015, the under-five mortality rate

4.2 Infant mortality rate 4.3 Proportion of 1-year-old children immunized against measles

Millennium Development Goal 5: Improve maternal health* Targets 5.A: Reduce by three quarters, between 1990 and 2015, the maternal mortality ratio

Indicators 5.1 Maternal mortality ratio 5.2 Proportion of births attended by skilled health personnel 5.3 Contraceptive prevalence rate 5.4 Adolescent birth rate

5.B: Achieve, by 2015, universal access to reproductive health

5.5 Antenatal care coverage (at least one visit and at least four visits) 5.6 Unmet need for family planning

* The revised Millennium Development Goals framework agreed by the United Nations General Assembly at the 2005 World Summit, with the new official list of indicators effective as of 15 January 2008, has added a new target (5.B) and four new indicators for monitoring Millennium Development Goal 5. Source: United Nations, Millennium Development Goals Indicators: The official United Nations site for the MDG indicators, , accessed 1 August 2008.

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address some of the critical issues in maternal and newborn health and nutrition today.

The current situation of maternal and neonatal health Since 1990, the estimate of the global annual number of maternal deaths has exceeded 500,000. Although the number of under-five deaths worldwide has fallen consistently – from around 13 million in 1990 to 9.2 million in 2007 – maternal deaths have remained stubbornly intractable. Limited gains have been made worldwide towards the first target of Millennium Development Goal (MDG) 5, which aims to reduce the 1990 maternal mortality ratio by three quarters by 2015; and progress on diminishing maternal mortality ratios has been virtually non-existent in sub-Saharan Africa.3 Maternal mortality ratios strongly reflect the overall effectiveness of health systems, which in many lowincome developing countries suffer from weak administrative, technical and logistical capacity, inadequate financial investment and a lack of skilled health personnel. Scaling up key interventions – for example, antenatal HIV testing, increasing the number of births attended by skilled health personnel, providing access to emergency obstetric care when necessary and providing post-natal care for mothers and babies – could sharply reduce both maternal and neonatal deaths. Enhancing women’s access to family planning, adequate nutrition 4

and affordable basic health care would lower mortality rates further still. These are not impossible, impractical actions, but proven, cost-effective provisions that women of reproductive age have a right to expect. Maternal health, however, goes beyond the survival of pregnant women and mothers. For every woman who dies from causes related to pregnancy or childbirth, it is estimated that there are 20 others who suffer pregnancy-related illness or experience other severe consequences. The number is striking: An estimated 10 million women annually who survive their pregnancies experience such adverse outcomes.4

they “ensure to women appropriate services in connection with pregnancy, confinement and the post-natal period, granting free services where necessary, as well as adequate nutrition during pregnancy and lactation” (article 12.2). Furthermore, the Convention on the Rights of the Child also commits States Parties to “ensure appropriate pre-natal and post-natal health care for mothers” and to “develop preventive health care, guidance for parents and family planning education and services” (article 24). The available evidence suggests that many countries are failing to deliver on these commitments.

That maternal health – as epitomized by the risk of death or disability from causes related to pregnancy and childbirth – has scarcely advanced in decades is the result of multiple underlying causes. The root cause may lie in women’s disadvantaged position in many countries and cultures, and in the lack of attention to, and accountability for, women’s rights.

Improving women’s health is pivotal to fulfilling the rights of girls and women under CEDAW and the Convention on the Rights of the Child and achieving the Millennium Development Goals. In addition to meeting MDG 5, enhancing reproductive and maternal health and services will also directly contribute to attaining MDG 4, which seeks to reduce the under-five mortality rate by two thirds between 1990 and 2015.

The 1979 Convention on the Elimination of All Forms of Discrimination against Women (CEDAW), currently ratified by 185 countries, requires signatories to “eliminate discrimination against women in the field of health care in order to ensure, on a basis of equality of men and women, access to health care services, including those related to family planning” (article 12.1). It also stipulates that

Enhancing maternal nutrition will also bring benefits for the achievement of Millennium Development Goal 1, which seeks to eradicate extreme poverty and hunger by 2015. Undernutrition is a process which often starts in utero and may last, particularly for girls and women, throughout the life cycle: A stunted girl is likely to become a stunted adolescent and later a stunted woman. Besides posing threats to

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The lifetime risk of maternal death for a woman in a least developed country is more than 300 times greater than for a woman living in an industrialized country.

© UNICEF/HQ06-2055/Pablo Bartholomew

required data are not routinely recorded. Beyond the estimation of maternal mortality, determining and recording the causes of death is a complex process. For a death to be conclusively established as related to pregnancy or childbirth, both the cause of mortality and the pregnancy status and the timing of death in relation to that pregnancy must be accurately noted. This level of detail is sometimes missing in the statistical reporting systems of industrialized countries, and its absence is commonplace in many developing countries, particularly the poorest.7 A strong referral system, skilled health workers and well equipped facilities are pivotal to reducing maternal and newborn deaths resulting from complications during childbirth. Health workers treat babies in the Sick Newborn Care Unit, India.

her own health and productivity, poor nutrition that contributes to stunting and underweight increases a woman’s likelihood of adverse pregnancy and birth outcomes. Undernourished mothers also have a far higher risk of delivering babies with low birthweight – a condition that gravely heightens the baby’s risk of death.5 Lowering a mother’s risk of mortality and morbidity directly improves a child’s prospects for survival. Research has shown that in developing countries, babies whose mothers die during the first six weeks of their lives are far more likely to die in the first two years of life than babies whose mothers survive. In a study conducted in Afghanistan, 74 per cent of infants born alive to

mothers who died of maternal causes also subsequently died.6 Moreover, maternal complications in labour heighten the risk of neonatal deaths, which are rapidly becoming a key focus of child survival efforts as overall rates of under-five mortality decline in most developing countries.

Trends in maternal and newborn health Maternal mortality The most recent UN inter-agency estimates suggest that in 2005, 536,000 women died from causes related to pregnancy and childbirth. This figure may be far from precise, however, as measuring maternal mortality is challenging, and in many developing countries the

Efforts to improve data collection on maternal mortality have been ongoing for the past two decades, initially involving the World Health Organization (WHO), UNICEF and the United Nations Population Fund (UNFPA), later joined by the World Bank. This inter-agency collaboration pools resources and reviews methodologies to arrive at more precise and comprehensive global estimates of maternal mortality. The figures for 2005 are the most accurate yet and the first to estimate maternal mortality trends by an inter-agency process. (Further details on the estimation of maternal mortality ratios and levels can be found in the Panel on page 7.) In recent years, new methodologies to calculate maternal and neonatal health status, service needs and mortality have been developed by the research community. These efforts are ongoing, enriching the process of arriving at more precise estimates

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Africa and Asia account for 95 per cent of the world's maternal deaths, with particularly high burdens in sub-Saharan Africa (50 per cent of the global total) and South Asia (35 per cent).

and causes of mortality and morbidity. In turn, better data and analysis on health status and health services are helping enhance the strategies and frameworks, programmes, policies and partnerships – including those that support gender mainstreaming – that are striving to improve maternal and newborn health. One issue in the estimation of maternal mortality appears beyond contention: The vast majority of maternal deaths – more than 99 per cent, according to the 2005 UN inter-agency estimates – occurred in developing countries. Half of these (265,000) took place in sub-Saharan Africa and another third (187,000) in South Asia. Between them, these two regions accounted for 85 per cent of the world’s pregnancy-related deaths in 2005. India alone had 22 per cent of the global total. The trend estimates available for maternal mortality indicates the lack of sufficient progress towards Target A of MDG 5, which seeks a 75 per cent reduction in the maternal mortality ratio between 1990 and 2015. Given that the global maternal mortality ratio stood at 430 per 100,000 live births in 1990, and at 400 deaths per 100,000 live births in 2005, meeting the target will require more than a 70 per cent reduction between 2005 and 2015. Global trends can obscure the wide variations between regions, many of which have made appreciable progress in reducing maternal mortality and are laying the foundations for further 6

improvements by increasing access to basic maternity services. In the industrialized countries, the maternal mortality ratio remained broadly static between 1990 and 2005, at a low rate of 8 per 100,000 live births. Near universal access to skilled care during delivery and emergency obstetric care when necessary have contributed to these diminished levels of maternal mortality; no industrialized countries with data have skilled attendance at birth of less than 98 per cent, and most have universal coverage. In all of the developing regions outside sub-Saharan Africa, both the absolute numbers of maternal deaths and maternal mortality ratios declined between 1990 and 2005. In subSaharan Africa, maternal mortality ratios remained largely unchanged over the same period. Given the region’s high fertility rates, this has

resulted in higher numbers of maternal deaths over the 15-year period. This lack of progress is particularly worrying, since the region has by far the highest ratios and lifetime risk of maternal mortality and the greatest number of maternal deaths. In West and Central Africa, the regional maternal mortality ratio stands at a staggering 1,100 per 100,000 live births, compared to the average for developing countries and territories of 450 per 100,000 live births. This region includes the country with the highest rate of maternal death in the world: Sierra Leone, with 2,100 maternal deaths per 100,000 live births. The West and Central Africa region also has the highest total fertility rate, at 5.5 children in 2007. (The total fertility rate measures the number of children who would be born per woman if she lived to the end of her childbearing

Figure 1.2

Regional distribution of maternal deaths* Maternal deaths, 2005 East Asia/Pacific 45,000 (8%) South Asia 187,000 (35%)

Latin America/Caribbean 15,000 (3%) Industrialized countries 830 (<1%) CEE/CIS, 2,600 (<1%)

Middle East/ North Africa 21,000 (4%)

Eastern/Southern Africa 103,000 (19%)

West/Central Africa 162,000 (30%)

* Percentages may not total 100% because of rounding. Source: World Health Organization, United Nations Children’s Fund, United Nations Population Fund and the World Bank, Maternal Mortality in 2005: Estimates developed by WHO, UNICEF, UNFPA and the World Bank, WHO, Geneva, 2007, p. 35.

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Challenges in measuring maternal deaths Maternal mortality is defined as the death of a woman while pregnant or within 42 days of termination of pregnancy, regardless of the site or duration of pregnancy, from any cause related to or aggravated by the pregnancy or its management. Causes of deaths can be divided into direct causes that are related to obstetric complications during pregnancy, labour or the post-partum period, and indirect causes. There are five direct causes: haemorrhage (usually occurring postpartum), sepsis, eclampsia, obstructed labour and complications of abortion. Indirect obstetric deaths occur from either previously existing conditions or from conditions arising in pregnancy which are not related to direct obstetric causes but may be aggravated by the physiological effects of pregnancy. These include such conditions as HIV and AIDS, malaria, anaemia and cardiovascular diseases. Simply because a woman develops a complication does not mean that death is inevitable; inappropriate or incorrect treatment or lack of appropriate, timely interventions underlie most maternal deaths.

mortality rate by three quarters between 1990 and 2015. The Maternal Mortality Working Group, which originally comprised the World Health Organization, UNICEF and the United Nations Population Fund, developed internationally comparable global estimates of maternal mortality for 1990, 1995 and 2000.

Accurate classification of the causes of maternal death, whether direct or indirect, accidental or incidental, is challenging. To accurately categorize a death as maternal, information is needed on the cause of death as well as pregnancy status, or the time of death in relation to the pregnancy. This information may be missing, misclassified or under-reported even in industrialized countries with fully functioning vital registration systems, as well as in developing countries facing high burdens of maternal mortality. There are several reasons for this: First, many deliveries take place at home, particularly in the least developed countries and in rural areas, complicating efforts to establish cause of death. Second, civil registration systems may be incomplete or, even if deemed complete, attribution of causes of death may be inadequate. Third, modern medicine may delay a women’s death beyond the 42-day post-partum period. For these reasons, in some cases alternative definitions of maternal mortality are used. One concept refers to any cause of death during pregnancy or the post-partum period. Another concept takes into account deaths from direct or indirect causes that occur after the post-partum period up to one year following pregnancy.

For the 2005 estimates, data were drawn from eight categories of sources: complete civil registration systems with good attribution of data, complete civil registration systems with uncertain or poor attribution of data, direct sisterhood methods, reproductive-age mortality studies, disease surveillance or sample registration, census, special studies and no national data. Estimates for each source were calculated according to a different formula, taking into account factors such as correcting for known bias and determining realistic uncertainty bounds.

The main measure of mortality risk is the maternal mortality ratio, which is identified as the number of maternal deaths during a given period of time per 100,000 live births during the same period, which is generally a year. Another key measure is the lifetime risk of maternal death, which reflects the probability of becoming pregnant and the probability of dying from a maternal cause during a women’s reproductive lifespan. In other words, the risk of maternal death is related to two main factors: mortality risk associated with a single pregnancy or live birth; and the number of pregnancies that women have during their reproductive years.

Working together to improve estimations of maternal deaths

In 2006, the World Bank, United Nations Population Division and several outside technical experts joined the group, which subsequently developed a new set of globally comparable maternal mortality estimates for 2005, building on previous methodology and new data. The process generated estimates for countries with no national data, and adjusted available country data to correct for under-reporting and misclassification. Of the 171 countries reviewed by the Maternal Mortality Working Group for the 2005 estimations, appropriate nationallevel data were unavailable for 61 countries, representing one quarter of global births. For these countries, models were used to estimate maternal mortality.

Measures of maternal mortality are prepared with a margin of uncertainty, highlighting the fact that while they are the best estimates available, the actual rate may be higher or lower than the average. Although this is true of any statistic, the high degree of uncertainty for maternal mortality ratios indicates that all data points should be interpreted cautiously. Notwithstanding the challenges of data collection and measurement, the 2005 inter-agency estimates for maternal mortality were sufficiently rigorous to produce trend analysis, assessing progress from the 1990 baseline date of MDG 5 to 2005. The lack of improvement in reducing maternal mortality identified in many developing countries has helped bring greater attention to achieving MDG 5. The 2005 maternal mortality estimates are far from perfect, and much work is still required to refine the processes of data collection and estimation. But they reflect a strong commitment on the part of the international community to continually strive for greater accuracy and precision. These ongoing efforts will support and guide actions to improve maternal health and ensure that women count.

See References, page 107.

Several agencies are collaborating to establish more accurate measurements of maternal mortality rates and levels worldwide, and assess progress towards Target A of Millennium Development Goal 5, which seeks to reduce the maternal

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Although the number of under-five deaths worldwide has fallen consistently – from around 13 million in 1990 to 9.2 million in 2007 – the toll of maternal mortality has remained stubbornly intractable above 500,000.

Figure 1.3

Trends, levels and lifetime risk of maternal mortality

Maternal mortality ratios, 1990 and 2005 1,100 1,100

West/Central Africa 790 760

Eastern/Southern Africa South Asia

650 500 1990

270

Middle East/North Africa

210

2005

220

East Asia/Pacific

150 180 130

Latin America/Caribbean 63 46

CEE/CIS 8 8

Industrialized countries

430 400

World

940 920

Sub-Saharan Africa* 480 450

Developing countries

900 870

Least developed countries 0

200

400

600

800

1000

1200

Maternal deaths per 100,000 live births

Lifetime risk of maternal death, 2005 West/Central Africa

Elevated fertility rates, combined with weak access to basic health-care and maternity services, can have lifelong implications for women’s survival. In the developing world as a whole, a woman has a 1 in 76 lifetime risk of maternal death, compared with a probability of just 1 in 8,000 for women in industrialized countries. By way of comparison, the lifetime risk of maternal mortality ranges from just 1 in 47,600 for a mother in Ireland, to 1 in every 7 in Niger, the country with the highest lifetime risk of maternal death.8

5.9

Eastern/Southern Africa

Neonatal mortality

3.4

South Asia

1.7

Middle East/North Africa

0.7

East Asia/Pacific

0.3

Latin America/Caribbean

0.4

CEE/CIS

0.1

Industrialized countries

0.01

World

1.1

Sub-Saharan Africa*

4.5

Developing countries

1.3

Least developed countries

4.2 0

1

2

3

4

5

6

7

Probability that a women will die from causes related to pregnancy cumulative across her reproductive years (%)

*Sub-Saharan Africa comprises the regions of Eastern/Southern Africa and West/Central Africa. Source: World Health Organization, United Nations Children’s Fund, United Nations Population Fund and the World Bank, Maternal Mortality in 2005: Estimates developed by WHO, UNICEF, UNFPA and the World Bank, WHO, Geneva, 2007, p. 35.

8

years and bore children at each age in accordance with prevailing age-specific fertility rates.) High fertility rates increase the risk that a woman will die from maternal causes. While mortality risks are associated with all pregnancies, these risks rise the more times a woman gives birth.

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Neonatal mortality is the probability of a newborn dying between birth and the first 28 completed days of life. The latest estimates from the World Health Organization, which date from 2004, indicate that around 3.7 million children died within the first 28 days of life in that year. Within the neonatal period, however, there is wide variation in mortality risk. The greatest risk is during the first day after birth, when it is estimated that between 25 and 45 per cent of neonatal deaths occur. Around three quarters of newborn deaths, or 2.8 million in 2004, occur within the first week – the early neonatal period.

© UNICEF Mozambique/Emidio Machiana

Expanded distribution of insecticide-treated mosquito nets to help prevent malaria and rapid scaling up of programmes to prevent and treat HIV infection are helping to save maternal and newborn lives. An HIV-positive mother and her newborn son under an insecticide-treated mosquito net are assisted by a nurse in a health centre, Mozambique.

Like maternal deaths, almost all (98 per cent in 2004) neonatal deaths occur in low- and middle-income countries. The total number of perinatal deaths, which groups stillbirths with early neonatal deaths owing to the fact that they have similar obstetric causes, was 5.9 million deaths in 2004. Stillborns accounted for around 3 million perinatal deaths that year.9 Until the mid-to-late 1990s, neonatal mortality figures were estimated from rough historical data. But as more reliable data emerged from household surveys, it became evident that previous estimates had significantly underestimated the incidence of newborn deaths. The global neonatal mortality rate declined by one quarter between 1980 and 2000, but its rate of reduction was much slower than that of the overall under-five mortality rate, which fell by one third. As a consequence, neonatal deaths currently constitute a much higher proportion of under-five deaths than in previous years. In

particular, deaths in the first week of life have risen from 23 per cent of under-five deaths in 1980 to 28 per cent in 2000.10 In part, the rising proportion of neonatal deaths reflects two key factors: the difficulty of reaching many babies who are born at home with effective and timely neonatal interventions, and the success of many countries in implementing interventions such as immunization that have markedly reduced post-neonatal deaths in the developing world as a whole. This has led in part to a relative neglect of cost-effective, simple neonatal survival interventions. Reducing neonatal deaths therefore has become a major component of new paradigms and strategies for diminishing child mortality and reaching Millennium Development Goal 4. Regional patterns of neonatal death correlate closely to those for maternal death. The lowest rates, unsur-

prisingly, are found in industrialized countries, where the neonatal mortality rate in 2004 was just 3 per 1,000 live births. The highest rates of neonatal death in 2004 were found in South Asia (41 per 1,000 live births) and West and Central Africa (45 per 1,000). Owing to a higher number of births, South Asia has the highest number of neonatal deaths among the world’s regions.11

The main causes of maternal and neonatal mortality and morbidity Maternal mortality

Direct causes The timing and causes of maternal and newborn deaths are well known. Maternal deaths mostly occur from the third trimester to the first week after birth (with the exception of deaths due to complications of abortion). Studies show that mortality

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The latest inter-agency estimates suggest that 536,000 women died in 2005 from causes related to pregnancy and childbirth.

risks for mothers are particularly elevated within the first two days after birth. Most maternal deaths are related to obstetric complications – including post-partum haemorrhage, infections, eclampsia and prolonged or obstructed labour – and complications of abortion. Most of these direct causes of maternal mortality can be readily addressed if skilled health personnel are on hand and key drugs, equipment and referral facilities are available.12 (For further details on birth complications and emergency obstetric care, see Chapter 3.) Indirect causes Many factors contributing to a mother’s risk of dying are not unique

Maternal anaemia affects about half of all pregnant women. Pregnant adolescents are more prone to anaemia than older women, and they often receive less care. Infectious diseases such as malaria, which affects around 50 million pregnant women living in malaria-endemic countries every year, and intestinal parasites can exacerbate anaemia, as can poorquality diets – all of which heighten vulnerability to maternal death. Severe anaemia contributes to the risk of death in cases of haemorrhage.14

to pregnancy but may be exacerbated by pregnancy and childbirth. Attributing these causes to pregnancy is difficult owing to the poor diagnostic capacity of many countries’ health information systems. Nonetheless, assessing the indirect causes of maternal deaths helps determine the most appropriate intervention strategies for maternal and child health. Collaboration between condition-specific programmes – such as those to address malaria or AIDS – and maternal health initiatives may often be the most effective way to address some of these indirect causes, including those that are highly preventable or treatable, such as anaemia.13

Anaemia is highly treatable with iron supplements offered through maternal health programmes. This intervention, however, remains limit-

Figure 1.4

Regional rates of neonatal mortality West/Central Africa

45 36

Eastern/Southern Africa South Asia

41

Middle East/North Africa

25

East Asia/Pacific

18

Latin America/Caribbean

13

CEE/CIS

16

Industrialized countries

3

28

World Sub-Saharan Africa*

41

Developing countries

31 40

Least developed countries 0

5

10

15

20

25

30

35

Neonatal deaths (0–28 days) per 1,000 live births, 2004

*Sub-Saharan Africa comprises the regions of Eastern/Southern Africa and West/Central Africa. Source: World Health Organization, using vital registration systems and household surveys.

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40

45

50

Creating a supportive environment for mothers and newborns by H. M. Queen Rania Al Abdullah of Jordan, UNICEF’s Eminent Advocate for Children* In 1631, a beautiful empress, Mumtaz Mahal, died while giving birth to her 14th child. Overwhelmed by grief, her husband constructed a monument in her honour: the Taj Mahal, today one of the best-known buildings in the world. And yet, while the Taj Mahal’s domes and spires are instantly recognizable, there is far less global awareness of the tragedy that inspired its creation. Nearly 400 years after Mumtaz Mahal lost her life in childbirth, a woman still dies from causes related to pregnancy or childbirth every minute of every day – more than 500,000 women each year, 10 million per generation. How can it be that in our age of modern advances and medical miracles we are still failing to safeguard women as they perpetuate the human race itself? The answer, of course, is that public health has made breathtaking strides, but those benefits have not been equally shared, either among countries or between the geographical areas and social groups within them. Even though the causes of pregnancy and childbirth complications are the same around the world, their consequences vary dramatically from country to country and region to region. Today, a young woman in Sweden has a 1 in 17,400 lifetime risk of dying of pregnancy-related causes. In Sierra Leone, her risk soars to 1 in 8. And for every woman who dies, another 20 are afflicted with serious infections or injuries. An estimated 75,000 women each year become victims of obstetric fistula, a physically and psychologically devastating condition that can result in social exclusion. The toll in women’s lives is enormous. But they are not the only ones who suffer. As a group of experts stated during a global conference on women’s health in 2007: “In their prime reproductive years, women ‘deliver’ for their societies in multiple ways: They bear and raise the next generation, and they are critical actors for progress as workers, leaders, and activists.” When women’s lives are cut short or incapacitated as a result of pregnancy or childbirth, the tragedy cascades. Children lose a parent. Spouses lose a partner. And societies lose productive contributors. Our world cannot afford to keep sacrificing so many people and so much potential. We know what it takes to prevent and treat the vast majority of pregnancy-related difficulties, from eclampsia and haemorrhage to sepsis, obstructed labour and anaemia. Indeed, the World Bank estimates that such basic interventions as antenatal care, attendance at delivery by skilled health personnel, and accessible emergency treatment for women and newborns could avert almost three quarters of maternal deaths.

women who die in childbirth each year. Why are maternal deaths only partially enumerated? One possible reason is that, in too many places, women’s lives do not fully count. And as long as women remain disadvantaged in their societies, maternal and newborn health will suffer as well. But if we can empower women with the tools to take control of their lives, we can create a more supportive environment for women and children alike. Empowerment begins with education, the best development investment we can make – from ensuring that girls as well as boys are able to attend primary school to teaching women to read and write, and providing public health education. Although much remains to be done, many countries are beginning to make strides in this direction. In Jordan, for example, nursing students from the University of Jordan are volunteering to educate girls in public schools about women’s health issues. Study after study shows that educated women are better equipped to earn income to support their families, more likely to invest in their children’s health care, nutrition and education, and more inclined to participate in civic life and to advocate for community improvements. Educated mothers are also more likely to seek proper health care for themselves; according to the 2007 Millennium Development Goals Report, “84 per cent of women who have completed secondary or higher education are attended by skilled personnel during childbirth, more than twice the rate of mothers with no formal education.” Children of educated mothers are 50 per cent more likely to survive until the age of five and beyond than those whose mothers did not receive or complete schooling. For girls in particular, education can make the difference between hope and despair. Research shows that young people who complete primary school are less likely to be infected by HIV than those who never managed to graduate from primary school. Educated girls are also more likely to delay marriage and less likely to get pregnant while very young, reducing the risk of dying in childbirth while they are still children themselves. As girls continue their education, their earning potential increases, enabling them to break the bonds of poverty too often passed down through the generations. Put simply, changing the trajectory for girls can change the course of the future. And if these girls grow into women who choose to become mothers themselves, they will view pregnancy and childbirth as something to celebrate, not fear.

See References, page 107. But expanding medical interventions is just one part of improving maternal and newborn health. More fundamentally, we need to boost women’s empowerment around the world. Consider that in a century increasingly defined by information, we still do not have precise data regarding the numbers of

*Her Majesty Queen Rania Al Abdullah of Jordan is UNICEF’s Eminent Advocate for Children and a tireless global advocate for child protection, early childhood development, gender parity in education and women's empowerment.

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ed in both coverage and effectiveness in some developing countries, mostly as a result of low access to basic health care and, more specifically, to quality antenatal care and support. Encouragingly, there are signs that efforts to address anaemia by fortifying staple foods like flour are beginning to accelerate at the national level in a number of developing countries.15 Maternal iodine deficiency during pregnancy is associated with a higher incidence of stillbirths, miscarriage and congenital abnormalities. These risks can be reduced and prevented by ensuring optimal maternal iodine status before or during pregnancy. Universal salt iodization and, in some cases, iodine supplementation are essential to ensure optimum iodine intake during pregnancy and childhood.16 Malaria is another deadly risk for mothers and babies. In malariaendemic areas, the disease contributes to around one quarter of severe maternal anaemia cases, heightens the risk of stillbirth and miscarriage, and contributes to low birthweight and neonatal deaths. Prevention of malaria through the use of insecticide-treated mosquito nets is therefore vital to reduce its impact on pregnant women and newborns. In addition, intermittent preventive treatment of malaria for pregnant women in the second and third trimesters is increasingly used in sub-Saharan Africa to avert anaemia and placental malaria.17 12

The precise contribution of HIV and AIDS to maternal deaths is difficult to assess since, despite the expansion of programmes to prevent mother-tochild transmission of HIV, the HIV status of many pregnant women is still unknown. HIV and pregnancy might interact in several ways. The virus may heighten the risk of such obstetric complications as haemorrhage, sepsis and complications of Caesarean section. Pregnancy, in turn, may raise the risk of HIV-related illnesses such as anaemia and tuberculosis, or accelerate HIV progression. Current research findings are indicative rather than conclusive, and more research is needed to clarify the degree of causality in both directions. It is believed that in countries with high prevalence of HIV, the AIDS epidemic may have reversed previous advances in maternal mortality. What can be assessed with greater certainty, at least partially, is the number of women identified as living with HIV who gave birth – around 1.5 million in 108 low- and middle-income countries in 2006. Efforts to address the AIDS epidemic and its impact on maternal and newborn health are intensifying in four key areas: prevention of infection among adolescents and young people; antiretroviral treatment for HIV-positive women and mothers who require antiretroviral therapy; prevention of mother-to-child transmission; and paediatric treatment of HIV. Advances are being made in all four areas and encouraging results

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are ensuing. For example, coverage of antiretroviral prophylaxis for HIV-positive mothers to prevent mother-to-child transmission rose from 10 per cent of HIV-infected pregnant women in low- and middle-income countries in 2004 to 33 per cent in 2007. Despite this appreciable progress, much more needs to be done to provide women with interventions for HIV prevention, care and therapy – including testing and counselling, and quality sexual and reproductive health services in addition to medicines.18 Although the consequences of co-infection with HIV and malaria parasites are not fully understood, available evidence suggests that the infections act synergistically and result in adverse outcomes. Recent evidence suggests that HIV-positive women with placental malaria are more likely to give birth to lowbirthweight infants. Research also suggests that low-birthweight infants are more susceptible to HIV infection as a result of mother-tochild transmission of the virus than infants of normal birthweight. Antiretroviral treatment for HIVpositive women and children and the use of insecticide-treated mosquito nets can reduce the risk of malaria still further.19 (For further details on HIV and malaria co-infection, see the Panel in Chapter 3, page 63.) For every woman who dies from pregnancy-related complications, around 20 more incur injuries, infections and disabilities – approximately

and other routine tasks. A number of factors can cause uterine prolapse, including prolonged labour, difficult delivery, frequent pregnancies, inadequate obstetric care and heavy manual labour. Other forms of maternal morbidity include anaemia, infertility, chronic infection, depression and incontinence – all of which may result in domestic problems including physical and psychological abuse, household dissolution and social exclusion.20

UNICEF/HQ05-1222/Roger LeMoyne

Neonatal mortality

Exclusive breastfeeding for the first six months of life helps protect newborns and infants from disease, reduces the risk of mortality and encourages healthy child development. A woman breastfeeds her newborn at the Uskudar Ana ve Cocuk Sagligi Klinigi, a clinic operated by the Ministry of Health in Istanbul, Turkey.

10 million women each year. Among the most distressing conditions is obstetric fistula, which occurs when prolonged pressure from the baby’s head during extended, problematic labour causes tissue damage in the birth canal. In the period following the birth, holes open up and there is leakage from the bladder and/or the rectum into the vagina. Fistula can be easily treated by health workers with appropriate surgical skills, but many of the estimated 75,000 women afflicted by this condition each year never receive treatment. Instead, they not only have to cope with the physi-

cal discomfort and emotional distress of the condition, they also may risk being shunned by their husbands and families. Another debilitating condition is uterine prolapse, which occurs when the muscles, ligaments and tissue supporting the pelvic structure give way, causing the uterus to fall into the vaginal canal. Limited mobility, chronic back pains and urinary incontinence are three consequences of prolapse, which, if severe, can also make it impossible for women to undertake household

Some 86 per cent of newborn deaths globally are the direct result of three main causes: severe infections – including sepsis/pneumonia, tetanus and diarrhoea – asphyxia and preterm births. Severe infections are estimated to account for 36 per cent of all newborn deaths. They can occur at any point during the first month of life but are the main cause of neonatal death after the first week. Clean delivery practices are clearly important in preventing infection, but maternal infections also need to be identified and treated during pregnancy. Infections in newborns require rapid identification and treatment as soon as possible following childbirth. Asphyxia (difficulty in breathing after birth) causes 23 per cent of newborn deaths and can largely be prevented by improved care during labour and delivery. The condition can be alleviated by a trained health worker who is able to detect its signs and resuscitate the newborn. Preterm birth (deliv-

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Pregnancy- and childbirth-related complications are an important cause of mortality for girls aged 15–19 years worldwide, accounting for 70,000 deaths every year.

ery at less than 37 weeks of completed gestation) directly causes 27 per cent of newborn deaths. Infants born prematurely find it more difficult than full-term babies to feed, maintain normal body temperature and withstand infection. Preventing malaria in pregnant women can have a positive impact on the incidence of premature births in malaria-endemic areas.21 According to the latest international estimates, which cover the period 2000–2007, 15 per cent of all newborns are born with low birthweight (defined as infants weighing less than 2,500 grams at birth). Low birthweight, which is caused by preterm birth or intrauterine growth restriction, is an underlying factor in 60–80 per cent of neonatal deaths. The majority of such cases occur in South Asia in particular, and also in sub-

Saharan Africa, the regions with the highest rates of undernutrition among girls and women. Maternal undernutrition is correlated with a higher incidence of low birthweight in infants.22 Intrauterine growth restriction, which refers to restricted growth of the fetus during pregnancy, is a leading risk for perinatal deaths. Like low birthweight, it is also associated with maternal undernutrition and ill health, among other factors. With correct identification and proper management, including early treatment of maternal diseases and good nutrition, the condition can be contained and need not result in lifelong consequences.23 The intergenerational nature of the solution to intrauterine growth restriction underlines the fact that improving maternal and newborn

health is not simply a practical matter of making available better and more extensive maternal health services. It also involves tackling head on the neglect of women’s basic rights in many societies. In addition to adequate nutrition for women, birth spacing is also central to avoiding preterm births, low birthweight in infants and neonatal deaths; studies show that birth intervals of less than 24 months significantly increase these risks. It is also imperative to secure girls’ access to proper nutrition and health care from birth through childhood and into adolescence, womanhood and their potential childbearing years.24 For every newborn baby who dies, another 20 suffer birth injury, com-

Figure 1.5

Direct causes of maternal deaths, 1997–2002*

Complications of abortion 4% Obstructed labour 4%

Other causes 30% Other causes 21%

Anaemia 4%

Haemorrhage 31%

Complications of abortion 6%

HIV/AIDS 6% Hypertensive disorders 9% Sepsis/ infections 10%

Haemorrhage 34%

Other causes 21%

Complications of abortion 12%

Obstructed labour 9%

Sepsis/ infections 12%

Anaemia 13%

Obstructed labour 13%

Haemorrhage 21%

Sepsis/ infections 8%

Hypertensive disorders 26%

Hypertensive disorders 9%

Africa

Asia

Latin America/Caribbean

* Data refer to the most recent year available during the period specified. Percentages may not total 100% because of rounding. Source: Khan, Khalid S., et al., 'WHO Analysis of Causes of Maternal Death: A systematic review', The Lancet, vol. 367, no. 9516, 1 April 2006, p.1069.

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For every woman who dies from a pregnancy-related cause, another 20 more incur injuries, infections and disabilities – around 10 million women each year.

plications arising from preterm birth or other neonatal conditions. More than 1 million children who survive birth asphyxia each year, for example, end up suffering disabilities such as cerebral palsy or learning difficulties.25

Underlying and basic causes of maternal and neonatal mortality and morbidity In addition to the direct causes of maternal and newborn mortality and morbidity, there are a number of underlying factors at the household, community and district levels that also serve to undermine the health and survival of mothers and newborns. They include lack of education and knowledge, inadequate maternal and newborn health practices and care seeking, insufficient access

to nutritious food and essential micronutrients, poor environmental health facilities and inadequate basic health-care services and limited access to maternity services – including emergency obstetric and newborn care. There are also basic factors, such as poverty, social exclusion and gender discrimination that underpin both the direct and underlying causes of maternal and newborn mortality and morbidity. (For a fuller outline of how these factors interact, see Figure 1.7 on page 17.)

survival. Studies show that women’s health throughout the life cycle, from childhood through adolescence and into adulthood, is critical in determining maternal and neonatal health outcomes. Access to institutional facilities and skilled health personnel at birth are also important factors; it should come as no surprise that the countries with the highest rates of neonatal mortality have among the lowest rates of skilled attendants at birth and institutional deliveries.26

Of particular importance is the restricted access to quality health care services that many women face. Maternal health and access to quality contraception and reproductive health services save women’s lives and are also important factors underlying newborn health and

Poverty undermines maternal and neonatal health in several ways. It can heighten the incidence of direct causes of mortality, such as maternal infections and undernutrition, and discourage care seeking or reduce access to health-care services. It can also undermine the quality of the

Figure 1.6

Direct causes of neonatal deaths, 2000* Low birthweight, which is related to maternal malnutrition, is a causal factor in 60–80 per cent of neonatal deaths.

Tetanus (7%) Sepsis/pneumonia (26%)

0

20

Congenital (7%)

Diarrhoea (3%)

40

Preterm (27%)

60

Asphyxia (23%)

80

Other (7%)

100

* Percentages may not total 100% because of rounding. Source: Lawn, Joy E., Simon Cousens and Jelka Zupan, ‘4 million neonatal deaths; When? Where? Why?', The Lancet, vol. 365, no. 9462, 5 March 2005, p. 895.

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Providing a supportive social context for the rights of women and girls is also critical to reducing maternal and neonatal mortality and morbidity. Efforts to increase health interventions to address the proximate causes of maternal and neonatal deaths and ill health, and to ameliorate maternal undernutrition, curb infectious diseases and improve hygiene facilities and practices will be only partly successful unless the social context in which women and girls reside respects their rights. As Chapter 2 shows, expanding service delivery may prove insufficient if women and girls are denied access to essential commodities or services because of cultural, social, or familial impediments.

Accelerating progress on maternal and newborn health Many of the causal factors responsible for maternal and neonatal morbidity and mortality are well known and interrelated, as illustrated in the conceptual framework in Figure 1.7. While there are still many gaps in our knowledge of the extent and causes of maternal and newborn deaths, we 16

© UNICEF/HQ08-0302/Susan Markisz

services provided even when they are available. Information from 50 Demographic and Health Surveys from 1995 to 2002 reveals that within regions, neonatal mortality rates are around 20–50 per cent higher for the poorest 20 per cent of households than for the richest quintile. Similar inequities are also prevalent for maternal mortality.27

Improving maternity services is essential to enhancing maternal and newborn health and survival. A nurse examines a six-week-old baby during a check-up at a community health centre, Jamaica.

certainly know enough to implement interventions that could save millions of lives. The main methods of reducing maternal and newborn mortality and morbidity are well established and understood. These include: • Promoting access to family planning services, based on individual country policies. • Quality antenatal care providing a comprehensive package of health and nutrition services. • Preventing mother-to-child transmission of HIV and offering antiretroviral treatment for women in need. • Basic preventive and curative interventions, including immunization against neonatal tetanus for pregnant women, routine immunization, distribution of insecticidetreated mosquito nets and oral rehydration salts, among others. • Access to improved water and sanitation, and adoption of improved hygiene practices, especially at delivery. Clean water for hygiene and drinking is essential for safe delivery.

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• Access to skilled health personnel – a doctor, nurse or midwife – at delivery. • Basic emergency obstetric care at a minimum of four facilities per 500,000 population – adapted to each country’s circumstances – for women who experience some complication. • Comprehensive emergency obstetric care at a minimum of one facility in every district or one per 500,000 population. • A post-natal visit for every mother and newborn as soon as possible after delivery, ideally within 24 hours, with additional visits towards the end of the first week and at four to six weeks. • Knowledge and life skills for pregnant women and families on the danger signs of maternal and newborn health and about referral systems. • Maternal nutrition counselling and supplementation as needed as part of

The burden of neonatal deaths is also high, as each year almost 4 million newborns die within the first 28 days of life.

Figure 1.7

Conceptual framework for maternal and neonatal mortality and morbidity This conceptual framework on the causes of maternal and newborn deaths illustrates that health outcomes are determined by interrelated factors, encompassing nutrition, water, sanitation and hygiene, health-care services and healthy behaviours, and disease control, among others. These factors are defined as proximate (individual), underlying (household, community and district) and basic (societal). Factors at one level influence other levels. The framework is devised to be useful in assessing and analysing the causes of maternal and newborn mortality and morbidity, and in planning effective actions to enhance maternal and neonatal health.

Maternal and neonatal mortality and morbidity

Congenital factors

Lack of education, health information, and life skills

Obstetric risks incl. complications of abortion

Insufficient access to maternity services – including emergency obstetric and newborn care

Inadequate and/or inappropriate knowledge, discriminating attitudes limit household access to actual resources

Diseases and infections

Inadequate maternal and newborn health practices and care seeking

Outcomes

Inadequate dietary intake

Insufficient access to nutritious food and essential micronutrients including early and exclusive breastfeeding

Poor water/ sanitation and hygiene, and inadequate basic health-care services

Direct causes

Underlying causes at the household/community and district levels

Quantity and quality of actual resources for maternal health — human, economic and organizational — and the way they are controlled Basic causes at societal level

Potential resources: environment, technology, people Political, economic, cultural, religious and social systems, including women’s status, limit the utilization of potential resources Source: UNICEF.

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A child born in a least developed country is almost 14 times more likely to die during the first 28 days of life than one born in an industrialized country.

routine antenatal, post-natal and neonatal care. • Essential care for all newborns, including initiation of breastfeeding within the first hour of birth, exclusive breastfeeding, infection control, warmth provision and avoidance of bathing during the first 24 hours. • Extra care for small babies, multiple births and severe congenital abnormalities. • Integrated Management of Neonatal and Childhood Illness, or the equivalent, in health facilities that provide care to women and children.28 For these interventions to work, however, it is increasingly recognized that essential services must be provided, at key points in the life cycle, through dynamic health systems that integrate a continuum of home, community, outreach and facility-based care. This concept of a continuum of care for maternal, neonatal and child health has arisen in recent years from the recognition that an integrated approach reaps more dividends than myriad separate initiatives. The continuum must exist, however, in a supportive environment that safeguards women’s rights and prioritizes maternal and newborn health. Chapter 2 explores the elements required to create and sustain such an environment. Among the most vital elements in the continuum of care is the presence of 18

skilled professionals throughout pregnancy, birth, post-partum and neonatal care, supported by referrals to adequately staffed facilities equipped to manage emergencies. The emerging role of mid-level providers such as nurses and midwives in broadening access to emergency obstetric care is also showing promising potential in the developing world. In particular, given that the risks of maternal and newborn death are greatest during the first 24–48 hours after birth, post-natal care urgently needs to be expanded during this period, and greater emphasis needs to be placed on follow-up visits for babies and mothers. Visits shortly after birth are vital for new mothers, who may remain at higher risk of mortality and morbidity for up to a year after birth. This is usually not possible, however, as maternal and newborn services are often sorely lacking in the poorest countries and communities where the most deaths occur. Particularly in sub-Saharan Africa, factors such as distance, migration, urbanization, armed conflict, disease and lack of investment in public health have left severe shortages of skilled health professionals. Women and newborns in fragile states – countries that experience weak institutional policy, poor governance, political instability and weak rule of law – require particular attention. Often these states lack the institutional capacity and adequate resources to deliver basic social

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and infrastructure services and offer security to citizens. Fragile states hold around 8 per cent of the world’s population, but they account for 35 per cent of global maternal deaths and comprise 8 of the 10 countries with the highest maternal mortality ratios. These countries also account for 21 per cent of global neonatal deaths, and comprise 9 of the 10 countries with the most elevated rates of neonatal mortality.29 Strengthening governance and the rule of law and restoring peace and security are requisites for accelerating progress on improving maternal and newborn health. Donors and international agencies also face the challenge of moving beyond short-term humanitarian response to long-term development assistance, and ensuring that maternal, child and newborn health and women’s rights are among the key issues in negotiations and programmes aimed at improving governance, resolving conflict and strengthening institutions.30 In the least developed countries, insufficient resources have been dedicated to maternal and neonatal health, with the result that the poor have been effectively denied access to clinics and hospitals, especially in rural areas. This may be due to the absence of such a facility, the poor quality and condition of health centres and hospitals, the lack of skilled health personnel or personnel with low skills levels, or the existence of user fees and other costs that the poor cannot afford. The continuum of care concept refers not only to the needs of mothers and

Focus On

Maternal and newborn health in Nigeria: Developing strategies to accelerate progress

Nigeria is Africa’s most populous country, with 148 million inhabitants in 2007, 25 million of them under age five. With almost 6 million births in 2007 – the third highest number in the world behind India and China – and a total fertility rate of 5.4, Nigeria’s population growth continues to be rapid in absolute terms. In addition to its sizeable population, Nigeria is known for its vast oil wealth. Nonetheless, poverty is widespread; according to the latest World Development Indicators 2007, published by the World Bank, more than 70 per cent of Nigerians live on less than US$1 per day, impairing their ability to afford health care. Poverty, demographic pressures and insufficient investment in public health care, to name but three factors, inflate levels and ratios of maternal and neonatal mortality. The latest United Nations inter-agency estimates place the 2005 average national maternal mortality ratio at 1,100 deaths per 100,000 live births and the lifetime risk of maternal death at 1 in 18. When viewed in global terms, the burden of maternal death is brought into stark relief: Approximately 1 in every 9 maternal deaths occurs in Nigeria alone. The women who survive pregnancy and childbirth may face compromised health; studies suggest that between 100,000 and 1 million women in Nigeria may be suffering from obstetric fistula. Neonatal deaths in 2004 stood at 249,000, according to the latest World Health Organization figures, with 76 per cent taking place in the early neonatal period (first week of life). Inadequate health facilities, lack of transportation to institutional care, inability to pay for services and resistance among some populations to modern health care are key factors behind the country’s high rates of maternal, newborn and child mortality and morbidity. Disparities in poverty and health among Nigeria’s numerous ethnolinguistic groups and between its states are marked. Poverty rates in rural areas, estimated at 64 per cent in 2004, are roughly 1.5 times higher than the urban-area rate of 43 per cent. Moreover, the poverty rate in the north-east region, which stands at 67 per cent, is almost twice the level of 34 per cent in the more prosperous south-east. Low levels of education, especially among women, and discriminatory cultural attitudes and practices are barriers to reducing high maternal mortality rates. A study at the Jos University Teaching Hospital in the north-central region shows that nearly three quarters of maternal deaths in 2005 occurred among illiterate women. The mortality rate among women who did not receive antenatal care was about 20 times higher than among those who did. Of the several ethnic groups represented among the patients, Hausa-Fulani women accounted for 22 per cent of all deliveries and 44 per cent of all deaths. The Hausa-Fulani represent the

largest ethnic group in northern Nigeria and are therefore critically affected by this region’s higher poverty rates. Cultural attitudes and practices that discriminate against women and girls contribute to maternal mortality and morbidity. Child marriage and high rates of adolescent births are commonplace across Nigeria, exposing girls and women of reproductive age to numerous health risks. Given these complex realities, developing strategies to accelerate progress on maternal and newborn health remains a considerable challenge. But the Government of Nigeria, together with international partners, is attempting to meet the challenge. In 2007, it began to implement a national Integrated Maternal, Newborn and Child Health (IMNCH) Strategy to fast-track high-impact intervention packages that include nutritional supplements, immunization, insecticide-treated mosquito nets and prevention of mother-to-child transmission of HIV. The strategy is to be rolled out in three phases, each lasting three years, and has been designed along the continuum of care model to strengthen Nigeria’s decentralized health system, which operates at the federal, state and local levels. In the initial phase, covering 2007–2009, the key focus will be identifying and removing bottlenecks, while delivering a basic package of services using community-based and family-care strategies. A sizeable proportion of expenditure will go towards artemisinin-based combination therapy to combat malaria in women, children and newly recruited and trained health workers, particularly in rural areas. As basic healthcare improves, it is anticipated that the demand for clinical services will increase. The second and third phases of the IMNCH will place greater emphasis on building health infrastructure. Over nine years, the strategy aims to revitalize existing facilities, construct clinics and hospitals, and create incentives – such as dependable salaries, hardship allowances and performance-based bonuses – that will help retain skilled health professionals in Nigeria’s health system. The IMNCH strategy, if implemented in full and on time, can markedly improve maternal and newborn health. Together with this package, the country has recently passed the National Health Insurance Scheme, which integrates the public and private health sectors to make health care more affordable for Nigerians. If the government passes the National Health Bill, which is currently before the legislature, a direct funding line for primary health care will become available. These health-system improvements have the potential to set a new course for meeting Millennium Development Goals 4 and 5 in Africa’s largest nation.

See References, page 107.

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For every newborn baby who dies, another 20 suffer birth injury, complications arising from preterm birth or other neonatal conditions.

children across time, but also to increasing access to health services by linking households and communities, clinics and hospitals. Chapter 3 looks in more depth at how to integrate and strengthen the services available to mothers and newborns and deliver them at key points in the life cycle and at key locations. Implementing and extending continua of care for mothers, newborns and children will require both inte-

grating and scaling up a range of actions. Chapter 4 examines the key paradigms, policies, and programmes that are driving the process forward. The final chapter of The State of the World’s Children 2009 calls for concerted action and strong, cohesive partnerships to improve maternal and neonatal survival and health. The goals are already clear – and it is also evident that the world as a whole has fallen behind on the Millennium

Development Goal to reduce child mortality (MDG 4) and even further behind on the goal to improve maternal health (MDG 5). It is clear that progress has to be significantly accelerated. The experiences of several developing countries, explored in depth in subsequent chapters, have proved that rapid progress is possible when sound strategies, political commitment, adequate resources and collaborative efforts are applied in support of the health of both mothers and newborns.

Expanding Millennium Development Goal 5: Universal access to reproductive health by 2015 In 2005, Heads of State meeting at the United Nations to review commitments made in the Millennium Declaration – the outcome document of the Millennium Summit of 2000 – not only reaffirmed the development goals elaborated in 2000 and ever since known as the Millennium Development Goals (MDGs), they also added four new targets to support them. One of the major changes to the MDG configuration is the inclusion of a specific target on reproductive health: Millennium Development Goal 5, Target B, which seeks to “Achieve, by 2015, universal access to reproductive health.” This new target falls within the goal’s overarching objective of improving maternal health and complements its original target and associated indicators. The indicators selected to monitor progress towards MDG 5, Target B, are shown below:

Contraceptive prevalence rate – Percentage of women aged 15–49 in union currently using contraception. Adolescent birth rate – Annual number of births to women aged 15–19 per 1,000 women in that age group. Alternatively, it is referred to as the age-specific fertility rate for women aged 15–19.

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Antenatal care coverage – Percentage of women aged 15–49 attended at least once during pregnancy by skilled health personnel (doctors, nurses or midwives) and the percentage attended by any provider at least four times. Unmet need for family planning – Refers to women who are fecund and sexually active but are not using any method of contraception and report not wanting any more children or wanting to delay the birth of the next child. The addition of the reproductive health target to the MDGs reflects a long process linking reproductive health issues to development, human rights and gender equity, whose landmark event was the International Conference on Population and Development (ICPD) held in Cairo in 1994. Since then, other important events, notably the Fourth World Conference on Women (Beijing, 1995) and ICPD+5 – the UN General Assembly Special Session on the International Conference on Population and Development held in 1999 – have confirmed and extended the recommendations of the original ICPD gathering, including the goal of universal access to reproductive health services by 2015.

See References, page 107.

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Focus On

Prioritizing maternal health in Sri Lanka

Sri Lanka is a story of success against the odds. A lowermiddle-income country – in 2006, Sri Lanka’s annual gross national income per capita was less than US$1,500 – it has also experienced a protracted civil conflict and the devastation of the 2004 Indian Ocean tsunami. Yet the country’s progress in human development, particularly in maternal and child health and education, has been one of the key success stories among developing countries in recent decades. Sri Lanka’s maternal mortality ratio declined from 340 per 100,000 live births in 1960 to 43 per 100,000 live births in 2005, and 98 per cent of births now take place in hospitals. Rates of antenatal care (at least one visit) and skilled attendance at birth stand at 99 per cent. In 2007, the country had an overall fertility rate of 1.9 – compared to 3.0 for the South Asia region. These results have also had positive effects on child survival: The under-five mortality rate has fallen from 32 per 1,000 live births in 1990 to 21 per 1,000 live births in 2007. The latest available data suggest that the neonatal mortality rate has also fallen, to around 8 per 1,000 births in 2004. In basic education, too, Sri Lanka’s performance has been outstanding. According to the latest international estimates, net primary school enrolment stands at more than 97 per cent for both girls and boys, while literacy rates among young people aged 15–24 are 97 per cent for males and 98 per cent for females. Administrative data suggest that the completion rate for primary school is 100 per cent. Given the positive correlation between education and maternal and child survival, these are the results of sustained investment in all three areas. The key to Sri Lanka’s outstanding improvements in maternal health was the expansion of a synergistic package of health and social services to reach the poor. The country’s health system, which dates back to the late 19th century, first targeted universal provision of improved health care, sanitation and disease management. It subsequently added specific interventions to improve the health of women and children. Over the years, successive governments have followed a prudent approach of prioritizing health-care services to mothers and the poor while spending economic and human resources judiciously. The resulting improvements in women’s health are supported and strengthened by measures to empower women socially and politically through education, employment and social engagement.

sionalize midwives, and a no-blame policy helped make inquiries into maternal deaths routine. The results were dramatic – maternal mortality was halved between 1947 and 1950. Thirteen years later, maternal mortality rates were cut in half again. Once health structures and networks were in place, increasingly better organization and clinical management have allowed Sri Lanka to cut the maternal mortality ratio by 50 per cent every 6 to 11 years. In addition, women’s literacy rose from 44 to 71 per cent between 1946 and 1971. The rates of skilled attendance at birth and institutional delivery also grew. The public health midwife’s role became more that of an institutional delivery assistant, as home midwife-assisted deliveries declined from 9 per cent in 1970 to just 2 per cent in 1995. Beginning in 1965, midwives also played a role in expanding government family planning services. Sri Lanka’s development of its health system has long been a model for other developing countries, demonstrating the degree of success that can be achieved in maternal and child health when sound strategies, sufficient resources and political commitment are judiciously applied. Despite its noteworthy advances in maternal and child health, challenges remain. In recent years, the country has faced a shortage of health workers; according to the World Health Statistics 2008, in the 2000–2006 period the country had only 6 doctors and 17 nurses and midwives per 10,000 inhabitants. In addition, services have deteriorated as financial resources have been squeezed, with health spending at around 4 per cent of GDP in 2005. Private spending on health, most of which is out-of-pocket, accounts for more than half of total health expenditure. A further challenge for Sri Lanka will be to ensure food security, particularly if global food prices remain high. The country still has marked levels of undernutrition among newborns and children under five. According to the latest international estimates, more than 1 in every 5 newborns are born with low birthweight, and 23 per cent of children under five are moderately or severely underweight. Improving the level of exclusive breastfeeding for children less than six months old from its current level of 53 per cent will be vital to sustaining Sri Lanka’s gains in neonatal and child mortality. See References, page 107.

Sri Lanka’s early written records and colonial past give a unique perspective of the evolution of maternal health in the country, starting with 9th- and 10th-century medical texts. Formal midwifery training was established under the British colonial government in 1879, and the Registrar General has recorded maternal mortality since 1902. This wealth of information and knowledge makes it possible to evaluate results of differing approaches to maternal health over time. Clear mandatory competencies helped profes-

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The centrality of Africa and Asia in the global challenges for children and women

The continents of Africa and Asia* present the largest global challenges to the survival of children and women. Their progress in such critical areas as child and maternal health, nutrition and education, among others, is pivotal to achievement of the Millennium Development Goals.

Deaths of children under five, 2007

Rest of the world: 28,000 (5%)

Rest of the world: 0.7 million (8%)

Asia: 3.8 million (41%)

Africa: 4.7 million (51%)

Source: UNICEF global databases.

Deaths among children under five • In 2007, 9.2 million children died before age five. Africa and Asia together accounted for 92 per cent of these deaths. • Half of the world’s under-five deaths occurred in Africa, which remains the most difficult place in the world for a child to survive until age five. • Although Asia has seen a remarkable reduction in the annual number of child deaths since 1970, it still accounted for 41 per cent of global under-five deaths in 2007.

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Maternal deaths, 2005

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Asia: 232,000 (43%)

Africa: 276,000 (51%)

Source: UNICEF global databases.

Maternal deaths • In 2005, the latest year for which firm estimates are available, an estimated 536,000 women died from causes related to pregnancy and childbirth. Almost all – 95 per cent – of these maternal deaths occurred in Africa and Asia. • Africa is the continent with the highest rate of maternal mortality, estimated at 820 maternal deaths per 100,000 live births in 2005. Asia’s rate of maternal death is 350 per 100,000 live births. • In Africa, the lifetime risk of maternal death is 1 in 26, four times higher than in Asia and more than 300 times higher than in the industrialized countries.

The full burden of maternal and child deaths in Africa and Asia – for each continent and for the two combined – is frequently understated due to the lack of continent-wide estimates for key Millennium Development Goal indicators. This panel presents a snapshot of key child and maternal indicators for Africa and Asia, and in their totality provides a complementary perspective to the regional breakdown presented in the Statistical Tables, pages 113-157 of this report.

Aggregating the data on children from these two vast continents provides a stark reminder of the overwhelming importance of making rapid progress across both Africa and Asia if global development goals are to be realized. In the push to accelerate progress at the continental level, however, the often startling disparities in the status of women and children and in rates of progress within countries and continents must not be forgotten. The issue of disparities and inequalities affecting children will be examined in greater detail in future editions of The State of the World’s Children.

Underweight children under five, 2007 Rest of the world: 10 million (7%)

Primary-school-age children out of school, 2007 Rest of the world: 12 million (12%)

Africa: 39 million (27%) Africa: 49 million (49%) Asia: 40 million (39%)

Asia: 99 million (67%)

Source: UNICEF global databases.

Source: UNICEF global databases.

Nutritional status of young children

Primary education

• In 2007, 148 million children under age five in the developing world were underweight for their age.

• In 2007, 101 million children of primary school age were not in school.

• Two thirds of these children live in Asia, and just over one quarter live in Africa.

• Almost half of these children live in Africa, and 39 per cent live in Asia.

• Together, Africa and Asia account for 93 per cent of all underweight children under age five in the developing world.

• Across the two regions, approximately 20 per cent of girls and 16 per cent of boys of primary school age are either not enrolled or are not attending primary school.

* Africa includes all member states of the African Union. Asia includes the countries in the UNICEF regions of East Asia and the Pacific and South Asia. Numbers may not always add up due to rounding.

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The global food crisis and its potential impact on maternal and newborn health The recent, precipitous rise in global prices that began in 2006 and continued in 2007–2008 has illustrated the vulnerability of millions to hunger and undernutrition, particularly those in countries where food security is still a major concern. The sharp increases involved such basic foodstuffs as vegetable oils, grains, dairy products and rice. Although fluctuations in the prices of commodities are common, what distinguished the situation in 2008 was that the hike in world prices affects not just a selected few products but nearly all major food and feed commodities.

Figure 1.8

Food prices have risen sharply across the board*

however, it is the poorest sections of society – who spend the largest proportion of their disposable income on food – that are likely to be hardest hit by the food crisis.

Addressing the special nutritional needs of mothers and newborns During an emergency such as a food crisis, pregnant and lactating mothers, together with infants, are among those considered most at risk of undernutrition, owing to their higher nutritional requirements. For example, pregnant women require almost 285 additional calories per day, and lactating women require an additional 500 calories per day. Their micronutrient needs are also higher, and they require adequate intake of iron, folate, vitamin A and iodine to ensure the health of both mother and infant.

350

Index of food commodity prices

1998–2000 = 100 Oils and fats

300

250 Dairy

Cereals

200 Sugar 150 Meat 100 J

J

A

S

O

N

D

J

F

M

A

M

J

2007/2008 * The food commodity price indices displayed above are the weighted averages of price indices from a basket of basic goods under each commodity group. The weights are the average export trade shares for 1998–2000. For examples, the Oils and Fats Price Index consists of the price indices of 11 different oils (including animal and fish oils) weighted with average export trade shares of each oil product for 1998–2000. For a fuller explanation of the composition of each food commodity group index, see Source. Source: Food and Agriculture Organization of the United Nations, Food Price Indices, , accessed 1 August 2008.

By June 2008, the Food and Agriculture Organization of the United Nations (FAO) had identified 22 developing countries as being particularly vulnerable to the food crisis. Its assessment was based on a combination of three risk factors: • An underweight prevalence rate of 30 per cent or more in the population. • A high degree of dependence on imports of food staples such as rice, wheat and maize. • A high degree of dependence on imported petroleum products. Comoros, Eritrea, Haiti, Liberia and Niger are among the countries that demonstrate worrisome levels of all three of these identified risk factors. It comes as little surprise that most of these nations are among the least developed and lowest-income countries. Even within these countries,

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In the face of the food crisis, FAO has urged a rapid supply response to restore a better balance between food supply and demand, especially in the countries worst affected. In addition, while food aid is being supplied to countries, policies must be applied to offset patterns of food distribution between family members that may result in pregnant and lactating women consuming less than their minimum requirements. Where food aid is being provided to those most at risk of shortages and undernutrition, additional food for pregnant women should be supplied, usually as a take-home ration, either through the general ration distribution or through supplementary feeding programmes. Pregnant and lactating women may also require other complementary, nutritionrelated interventions, including food fortification, micronutrient supplementation, additional safe drinking water, malaria management during pregnancy, prophylaxis for management of internal parasites, and nutrition education counselling. Communication and advocacy campaigns concerning food aid should highlight the special nutritional needs of pregnant and lactating women and include messages to families and communities explaining why these women are being provided extra food. The information should stress the importance of exclusive breastfeeding for the first six months of a child’s life, with complementary feeding for older infants. For HIV-positive mothers, breastfeeding practices may differ, since the virus can be transmitted through breast milk, depending on the availability and safety of replacement feeding. Information and early warning continue to have a crucial role in ensuring that timely and appropriate action can be taken to avoid suffering. FAO’s Global Information and Early Warning System is demonstrating its capacity to alert the world to emerging food shortages. More needs to be done, however, to create strong response mechanisms to food crises and to develop national and international policies that prioritize and safeguard food and nutrition security – and take into account the special nutritional needs of women and young children.

See References, page 107.

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© UNICEF /HQ05-2185/Giacomo Pirozzi

2

Creating a supportive environment for maternal and newborn health

Improving maternal and newborn health requires delivering essential services at critical times and in key locations where they can be readily accessed by women and children. Establishing and consolidating these continua of care necessitate more than just enhanced primary-health-care interventions; it also demands a supportive environment for mothers and children that safeguards and promotes their rights. The second chapter of The State of the World’s Children 2009 explores the fundamentals of the supportive environment and the ways in which it strengthens efforts to enhance primary health care.

I

n October 2008, more than 500 health leaders from 65 countries met in Almaty, Kazakhstan, at an international conference marking the 30th anniversary of the AlmaAta Declaration on primary health care. The participants exchanged experiences from the past three decades and renewed their commitment to the principles of primary health care as a way of strengthening health systems. The World Health Organization launched the World Health Report 2008, which also addressed the theme of primary health care, on the eve of the conference. The Alma-Ata Declaration, which emerged from a similar meeting convened by UNICEF and WHO in 1978 in the same city, in effect charted a new course for public health. It advocated that countries broaden the remit of health care beyond medical interventions to address the social, cultural and infrastructure constraints on providing quality health services to all their citizens. A principal focus of the primary-health-care approach that emerged from Alma-Ata is the same as the subject of this report: care for

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mothers and children. Other core priorities included disease control, access to family planning, safe water supplies and sanitation. Citizens were to be encouraged to participate in their own health care, particularly in the provision of preventive care and adoption of healthy behaviours and practices.1 (See Panel on page 29) Considerable progress has been achieved across the developing world in the 30 years that have ensued, in controlling several major diseases, including polio and measles, and in reducing child mortality – particularly in the post-neonatal period (between 29 days and five years of age). Yet given the widening inequities in healthcare provision between and within countries across the developing world, the Alma-Ata agenda of comprehensive primary health care – which emphasizes the importance of a supportive environment and preventive and curative interventions in determining health outcomes – is perhaps as pertinent today as it was in 1978. There is a growing recognition among health policymakers and

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practitioners that the interrelated health needs of women, newborns and children require the type of integrated solutions championed in the Alma-Ata Declaration. This recognition has resulted in renewed interest in and support for integrated frameworks of health-service delivery. Regular refinement of such frameworks as the Integrated Management of Childhood Illness, introduced by UNICEF and the World Health Organization in 1992, and collaboration between national and international partners over the past two decades have recently consolidated into a comprehensive paradigm that integrates the hitherto often disparate programmes for maternal and child health: the continuum of care for mothers, newborns and children.

The continuum of care The continuum of care aims to integrate maternal, newborn and child health care. Its central premise can be summarized as follows: essential services for mothers, newborns and children are most effective when they are

The interrelated health needs of women and newborns require integrated primary-health-care solutions.

Figure 2.1

The continuum of care Connecting care during the lifecycle (A) and at places of caregiving (B). Adapted from Partnership for Maternal, Newborn and Child Health, with permission.

A

an egn Pr

Neonata l pe rio d

cy

nc fa In

delivered in integrated packages at critical points in the life cycle of mothers and children, in a dynamic health system that spans key locations, underpinned by an environment supportive of the rights of women and children.

Birth

age

du ro p

Re

Adole sce nc e Pregnancy

ol ho

Adolescence and before pregnancy

5 years

10 years

Post-natal (mother)

Birth

Maternal health

Post-natal (newborn)

Infancy Childhood

B Appr Hospitals and health facilities

op ria

re te ferral an

The key delivery modes for services are household and community, outreach and outpatient, and health facilities.2

20 years

Childhood

Sc

e ctiv

Adulthood

rs

The essential services for mothers, newborns and children include basic health care, quality maternal, newborn and child health care, adequate nutrition and improved water and sanitation facilities, and hygiene practices.

1 year Pr e s c h o ol y ea

years

Death Ageing

y

28 days

The critical points for service delivery are adolescence, pre-pregnancy, pregnancy, birth, post-partum, neonatal, infancy and childhood.

Outpatient and outreach services

w-u llo

Family and community care

o

p

The continuum of care broadly reflects a set of strategic principles based on lessons learned from a century of evolving health-care systems and practices. These principles were explored in depth in The State of

df

The supportive environment requires respect for the rights of women and children; quality education; a decent standard of living; protection from abuse, exploitation, discrimination and violence; equal participation in home, community, social and political life; empowerment of women; and greater involvement of men in maternal and child care.

Source: Kevbes, Kate J., et. al., 'Continuum of Care for Maternal, Newborn and Child Health: From slogan to service delivery', The Lancet, vol. 370, no. 9595, 13 October 2007, p.1360.

the World’s Children 2008 and are summarized here. • Actions to improve the health of women, newborns and children are most effective and sustainable when they are integrated and delivered in convenient, costeffective packages to communities and families.

• Health systems are most useful when they integrate dynamically the different modes of care – facility-based, outreach and outpatient services, and community and family care. • Strengthening health systems to improve health outcomes for mothers and children requires combining and integrating the

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© UNICEF/HQ06-0954/Shehzad Noorani

Much ill health among women during pregnancy is preventable, detectable or treatable through antenatal visits. A health worker prepares to measure a pregnant woman’s blood pressure at a clinic, Bangladesh.

the exploration of the continuum of care for mothers and newborns begins by examining the various constituents of a supportive environment for the rights of women and girls. strengths of vertical and horizontal approaches to health-service delivery, rather than choosing either approach in isolation. • A results-oriented approach to health-systems development, centred on effective and evidence-based interventions, is useful in setting agendas and policies and in monitoring and evaluating progress. • Results are best achieved through collaborative action between programmes, policies and partnerships working towards improving maternal, newborn and child care.3 These precepts form the basis of programmes, policies and partnerships seeking to establish and extend continua of quality health care for mothers, newborns and children. To be truly effective, however, and to move closer to meeting the Alma-Ata challenge of delivering primary health care for all, essential services for mothers and children require a supportive environment that safeguards and promotes their rights. Without actions to address gender discrimination, inequities and abuses that are perpetuated against women and girls in particular, actions in support of enhanced primary health care risk being 28

much less effective, sustainable or even possible. Consider, for example, the problem of low birthweight, which is a background factor in 70 per cent of neonatal deaths. Most low birthweight babies suffered intrauterine growth restriction in the womb, usually as a result of the poor nutritional and health status of the mother before and during pregnancy. The majority of such cases occur in South Asia, the region with highest rates of undernutrition among girls and women, and the only one with clear evidence of gender discrimination in nutrition among children under five and in adolescence.4 Reducing neonatal deaths necessitates not only the provision of antenatal care and the attendance of skilled health personnel at delivery; it also requires that girls and women receive adequate nutrition and health care from birth through childhood and into adolescence, womanhood and their potential childbearing years. This is but one example – more are given in the remainder of this chapter – of how the survival and health of newborns and children depend critically on the fulfilment of women’s rights. For this reason,

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Creating a supportive environment for women and children Improving maternal and newborn health is not simply a practical matter of making available better and more extensive maternity services. It also involves addressing and reversing the neglect of women’s rights and the structural discrimination and maltreatment often suffered by girls and women. Discrimination on the basis of gender – often passed on from generation to generation by cultural tradition and economic, social and political norms – has numerous pernicious effects. It can deny girls and women access to education, which research shows could lower their exposure to the risks of maternal and infant deaths.5 It may prevent them from receiving, or from seeking, adequate health care and vital life skills to protect them against sexually transmitted infections – including HIV – inadequate birth spacing, violence, abuse and exploitation. It can constrain their income-earning capacity when they become women and can force them into a life of servitude and subservience when they marry – often when they are still children under 18 years of age.

Promoting healthy behaviours for mothers, newborns and children: The Facts for Life guide Creating a supportive environment for maternal and newborn health requires altering behaviours that discriminate against women and girls and adopting healthy practices that safeguard them from disease and injury. Healthy practices, such as exclusively breastfeeding an infant for the first six months of its life or washing hands with soap, must be evidencebased and established by medical experts. Describing these practices to parents and other caregivers in non-technical language is critical to empowering women and girls and supporting maternal and newborn health. Twenty years ago, eight UN agencies – UNICEF, WHO, UNFPA, the United Nations Educational, Scientific and Cultural Organization, the United Nations Development Programme, the Joint United Nations Programme on HIV/AIDS, the World Food Programme and the World Bank – jointly published a guide to make such life-saving knowledge available to everyone. The guide, entitled Facts for Life, was addressed to communicators – health workers, the media, government officials, non-governmental organizations, teachers, religious leaders, employers, trade unions, women’s groups, community organizations and others. Its third edition, published in 2002, addressed a broad range of topics:

Clear, brief and practical key messages explained recommended actions and offered supplementary information. One underlying principle of the guide is that communication involves more than simply providing information. It also requires presenting the information in an interesting and accessible way and helping people understand its relevance. The guide also discusses ways to take action and overcome bottlenecks and barriers.

Facts for Life has been widely disseminated, with more than 15 million copies in circulation in 215 languages by 2002. A new edition of the guide is being prepared.

• Timing of births • Safe motherhood • Child development and early learning • Breastfeeding • Nutrition and growth • Immunization • Diarrhoea • Coughs, colds and more serious illnesses • Hygiene • Malaria • HIV and AIDS • Injury prevention • Disasters and emergencies

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Gender equality produces a double dividend, enhancing the lives of both women and children.

life; and empowering them to claim their rights and essential services for themselves and their children. Greater involvement of men in maternal and newborn health care and in addressing gender discrimination and inequalities is also critical to establishing a supportive environment. The remainder of this chapter will briefly examine each of these challenges in turn.

In addition, the heavy workloads of women – who in general work longer hours than men – can deny them the time for leisure and rest. Creating a supportive environment for maternal and newborn health requires challenging the social, economic and cultural barriers that perpetuate gender inequality and discrimination. This will involve several key actions: educating girls and women, and reducing the poverty they experience; protecting girls and women from abuse, exploitation, discrimination and violence; fostering their participation and their involvement in household decisionmaking and economic and political

Declaration of Human Rights, the 1989 Convention on the Rights of the Child and other human rights instruments.6 It is also pivotal to improving maternal and neonatal health, reducing the incidence of child marriage – with its largely inevitable consequences of premature pregnancy and motherhood, eliminating extreme poverty and hunger, and enhancing knowledge of health risks and life skills. Since discrimination against girls and women is known to begin early, promoting gender equality and respect for the rights of women and encouraging fathers to play active roles in child care, should begin with early childhood education programmes.

Quality education and a decent standard of living Securing a quality education Education is a right for children and adolescents under the 1948 Universal

Figure 2.2

Although improving, the educational status of young women is still low in several developing regions 26

West/Central Africa 18

Eastern/Southern Africa

Female youth (15–24 years) literacy rate

69 43

South Asia

74 52

Middle East/North Africa

85 63

East Asia/Pacific Latin America/Caribbean

Female net secondary school attendance

66

98

N/A

97 76

CEE/CIS

44

World

85

22

Sub-Saharan Africa*

68 43

Developing countries

84

24

Least developed countries 0

20

99

65

40

60

80

100

percentage, 2000–2007 * Sub-Saharan Africa comprises the regions of Eastern/Southern Africa and West/Central Africa. Sources: Female youth literacy rate—UNESCO Institute of Statistics. Female net secondary school attendance—Demographic and Health Surveys and Multiple Indicator Cluster Surveys.

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Primary health care: 30 years since Alma-Ata The 1978 Declaration of Alma-Ata was groundbreaking because it linked the rights-based approach to health to a viable strategy for attaining it. The outcome document of the International Conference on Primary Health Care, the declaration identified primary health care as the key to reducing health inequalities between and within countries and thereby to achieving the ambitious but unrealized goal of “Health for All” by 2000. Primary health care was defined by the document as “essential health care” services, based on scientifically proven interventions. These services were to be universally accessible to individuals and families at a cost that communities and nations as a whole could afford. At a minimum, primary health care comprised eight elements: health education, adequate nutrition, maternal and child health care, basic sanitation and safe water, control of major infectious diseases through immunization, prevention and control of locally endemic diseases, treatment of common diseases and injuries, and the provision of essential drugs. The declaration urged governments to formulate national policies to incorporate primary health care into their national health systems. It argued that attention be given to the importance of community-based care that reflects a country’s political and economic realities. This model would bring “health care as close as possible to where people live and work” by enabling them to seek treatment, as appropriate, from trained community health workers, nurses and doctors. It would also foster a spirit of self-reliance among individuals within a community and encourage their participation in the planning and execution of health-care programmes. Referral systems would complete the spectrum of care by providing more comprehensive services to those who needed them most – the poorest and the most marginalized. Alma-Ata grew out of the same movement for social justice that led to the 1974 Declaration on the Establishment of a New International Economic Order. Both stressed the interdependence of the global economy and encouraged transfers of aid and knowledge to reverse the widening economic and technological divides between industrialized countries and developing countries, whose growth had, in many cases, been stymied by colonization. Examples of community-based innovations in poorer countries after World War II also provided inspiration. Nigeria’s under-five clinics, China's barefoot doctors and the Cuban and Vietnamese health systems demonstrated that advances in health could occur without the infrastructure available in industrialized countries.

The International Conference on Primary Health Care was itself a milestone. At the time, it was the largest conference ever held devoted to a single topic in international health and development, with 134 countries and 67 non-governmental organizations in attendance. Yet there were obstacles to fulfilling its promise. For one thing, the declaration was non-binding. Furthermore, conceptual disagreements over how to define fundamental terms such as ‘universal access’, which persist today, were present from the beginning. In the context of the cold war, these terms revealed the sharp ideological differences between the capitalist and communist worlds, discord perhaps heightened by the fact that the Alma-Ata conference took place in what was then the Union of Soviet Socialist Republics. As the 1970s gave way to a new decade, a tumultuous economic environment contributed to a diversion away from primary health care in favour of the more affordable model of selective health care, which targeted specific diseases and conditions. Nonetheless, despite the mixed success of primary health care in the countries where it has been implemented, advances in improving public health illustrate the community-based model’s flexibility and applicability. Insufficient progress towards the Millennium Development Goals, coupled with the threats posed to global health and human security by climate change, pandemic influenza and the global food crisis, have led to renewed interest in comprehensive primary health care. Yet the many challenges that prevented Alma-Ata’s implementation have evolved and must be confronted to achieve its goals now. Drawing on the growing body of evidence about cost-effective initiatives that integrate household and community care with outreach and facility-based services – such as those for maternal and child health described in Chapter 3 – will enable governments, international partners and civil society organizations to revitalize primary health care.

See References, page 108.

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© UNICEF/HQ05-2374/Anita Khemka

Outreach health providers bring vital services to communities and households. A community health worker holds up an infant growth chart during an education session for young mothers, India.

Securing quality education for girls and young women is a key challenge of the Millennium Development Goals, which aim to achieve universal primary education (MDG 2) and to eliminate gender disparity at all levels of education by 2015 as part of efforts to promote gender equality and empower women (MDG 3). Although considerable progress has been made in reaching gender parity in primary education – all regions are currently deemed to be on track to meet this target – there are sizeable gaps in several countries and in West and Central Africa in particular. Furthermore, gaps have closed less rapidly in secondary education.7 Research has long confirmed the merits of education not only for women and girls, but also for families and societies. Studies show that educated adolescents are more likely 32

to wait until they are out of their teenage years – when pregnancy risks are highest – before starting a family, and are also likely to have healthier babies.8 The benefits of delaying pregnancy until after adolescence are high. Consider the following facts: • Maternal deaths related to pregnancy and childbirth are an important cause of mortality for girls aged 15–19 worldwide, accounting for 70,000 deaths each year.9 • The younger a girl is when she becomes pregnant, the greater the health risks. Girls who give birth before the age of 15 are five times more likely to die in childbirth than women in their twenties.10 • If a mother is under the age of 18, her infant’s risk of dying in its first year of life is 60 per cent greater

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than that of an infant born to a mother older than 19.11 • Even if the child survives, he or she is more likely to suffer from low birthweight, undernutrition and late physical and cognitive development.12 The gains from education go beyond reducing the risk of maternal and newborn deaths and ill health. Research shows that educated women are more likely to delay marriage, ensure their children are immunized, be better informed about nutrition for themselves and their children, and undertake improved birth spacing practices. In turn, their children have higher survival rates than those of uneducated women and tend to be better nourished.13 Education is also essential to the fulfilment of women’s rights. It

Creating a supportive environment for maternal and newborn health requires challenging the social, cultural and economic barriers that perpetuate gender inequity.

Convention on the Rights of the Child, it is linked to other rights and is recognized in the Universal Declaration of Human Rights as the “right to free and full consent to marriage” (article 16). The Convention on the Elimination of All Forms of Discrimination against Women states that “the betrothal and the marriage of a child shall have no legal effect” and calls upon states to set legal minimum ages for marriage and to make marriage registration compulsory (article 16). Despite international commitment to change, many societies and communities continue the marriage of their

enhances women’s influence in household decision-making and opens up opportunities for women’s economic and political participation.

Protection from abuse, exploitation, discrimination and violence Preventing child marriage Child marriage is a violation of child rights, compromising the development of girls and often resulting in premature pregnancy and social isolation. Although child marriage is not directly addressed in the Figure 2.3

Gender parity in attendance has improved markedly, but there are still slightly more girls than boys out of primary school West/Central Africa

12

Eastern/Southern Africa

10

South Asia

Male

14

Female

10 16

19

Middle East/North Africa 3 4 East Asia/Pacific 2 3 Latin America/Caribbean 2 2 CEE/CIS 1 1 Industrialized countries 2 1 48

World 22

Sub-Saharan Africa*

53

47 21 0

10

20

In addition to an increased risk of maternal death from pregnancy and childbirth, adolescent wives are also susceptible to violence, abuse and exploitation. Child marriage also increases the risk that adolescent girls will drop out of school – with attendant negative implications for maternal and newborn health and for income-earning capacity, described previously. This, in turn, contributes to the vicious cycle of gender discrimination, with poorer families being more willing to permit the premature marriage of daughters out of economic necessity.16

24

Developing countries Least developed countries

young daughters and sons due to strong social pressures at the community level. Worldwide, more than 60 million women aged 20–24 were married before they reached the age of 18.14 In the developing world excluding China, the latest international estimates indicate that 36 per cent of women aged 20–24 were married or in union before the age of 18. In some regions, the incidence of child marriage is particularly high, at 49 per cent in South Asia, and 44 per cent in West and Central Africa, according to the latest estimates.15

52

22 30

40

50

60

70

80

90

100

110

Absolute number of primary-school-age children out of primary school (millions), 2006

* Sub-Saharan Africa comprises the regions of Eastern/Southern Africa and West/Central Africa. Source: Estimates derived by the Statistical Information Section, United Nations Children’s Fund, using attendance data from household surveys (Demographic and Health Surveys and Multiple Indicator Cluster Surveys) and UNESCO Institute of Statistics.

Given the health risks associated with adolescent pregnancy and birth (see page 32), the greater likelihood of adolescent pregnancy for girl wives, and the high incidence of this practice across several developing regions, it is evident that improving maternal health requires ending child marriage. This will require, among other actions,

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stronger government legislation to set and enforce the age of 18 as the minimum legal age of marriage, and to promote both birth and marriage registration; the former is required to establish the age of the child.

foster an open dialogue to address and challenge the economic pressures and societal traditions that perpetuate child marriage.

have undergone this practice. Though the practice has declined, its prevalence is still strong in several countries and communities.17

Abandoning female genital mutilation/cutting

While child marriage is becoming less common overall, the pace of change is slow. Challenging prevailing attitudes towards child marriage will also require addressing gender inequality. Action by parties other than governments is crucial, including religious and community leaders, as is the promotion of education, particularly at the secondary level. For their part, civil society and the media can help

Female genital mutilation and cutting violates girls’ and women’s human rights, denying them their physical and mental integrity, their right to freedom from violence and discrimination and, in the most extreme cases, their lives.

In addition to being a rights violation, female genital mutilation and cutting pose serious risks for childbirth, heightening the possibility of such complications as obstructed labour and post-partum haemorrhage in contexts outside the hospital setting.

Around 70 million girls and women aged 15–49 in 27 countries of Africa and the Middle East are estimated to

A study by the World Health Organization showed that not only does female genital mutilation/cutting (FGM/C) affect the reproductive health of women and cause severe

Figure 2.4

Child marriage is highly prevalent in South Asia and sub-Saharan Africa 44

West/Central Africa Eastern/Southern Africa

36 49

South Asia 18

Middle East/North Africa East Asia/Pacific*

19

Latin America/Caribbean

N/A 11

CEE/CIS

Sub-Saharan Africa**

40

Developing countries*

36

Least developed countries

49 0

10

20

30

40

50

60

Percentage of women aged 20–24 years who were married or in union before they were 18 years old, 1998–2007 * Excludes China. ** Sub-Saharan Africa comprises the regions of Eastern/Southern Africa and West/Central Africa. Source: Demographic and Health Surveys, Multiple Indicator Cluster Surveys and other national surveys.

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Addressing the health worker shortage: A critical action for improving maternal and newborn health One of the biggest challenges for maternal and neonatal health is the shortage of skilled health personnel. A 2006 World Health Organization survey reveals that while Africa accounts for more than 24 per cent of the global disease burden, it has only 3 per cent of the world’s health workers and spends less than 1 per cent of total global resources dedicated to health, even after loans and grants from abroad are taken into account. In contrast, the Americas region, which covers Latin America and the Caribbean along with North America, has only 10 per cent of the global burden of disease but commands 37 per cent of the world’s health workers and spends more than 50 per cent of global resources allocated to health. According to the World Health Organization, the world is facing a shortage of 4.3 million health workers, with every region except Europe showing a shortfall. More specifically, there are not enough skilled health workers – doctors, nurses or midwives – to attend all the world's births. A study by the Joint Learning Initiative found that countries needed an average of 2.28 health-care professionals per 1,000 people to achieve the minimum desired level of coverage for skilled attendance at delivery. Of the 57 countries that fall below this threshold, 36 are in sub-Saharan Africa. Although the countries with the largest shortages of health workers in absolute terms are found in Asia – notably in Bangladesh, India and Indonesia – the largest relative need is in sub-Saharan Africa. This region would need to increase its numbers of health workers by 140 per cent to reach the requisite density. An earlier WHO estimate calculated that 334,000 skilled birth attendants would need to be trained worldwide in the coming years to cover 73 per cent of births. Shortages of skilled health workers arise from many factors, including underinvestment in training and recruitment, weak incentives for health-care workers, low remuneration and high levels of stress. Heavy migration of skilled health workers from developing countries to industrialized nations – spurred by the burgeoning demand for health workers in industrialized countries with ageing populations – has also taken its toll. A survey of 10 African countries showed that the number of locally trained doctors now working in eight

pain, it can also result in prolonged bleeding, infection, a variety of reproductive health problems including infertility, and even death. It also affects newborns of women who have been subjected to the practice. The study provides clear evidence that complications in deliveries are significantly more likely among women with FGM/C. It also found that FGM/C is harmful to babies and

Organisation for Economic Co-operation and Development countries was equivalent to 23 per cent of the doctors still domestically employed in those countries. Demographic trends within countries are also strong influences on the health worker shortage. Rapid urbanization in developing countries is exacerbating the shortage of health workers in rural areas, as trained professionals seek work in more affluent urban conurbations. Health workers, who usually qualify in urban settings, are often reluctant to base themselves in a rural location on the grounds that it involves greater hardship, more basic living conditions and less access to urban amenities and entertainment. One survey in South and South-east Asia found, for example, that rural postings were shunned because of lower income, low prestige and social isolation. AIDS, too, is having a deleterious effect on health systems in the countries where it has reached epidemic proportions. Health workers in these countries face the same risks in their private lives as other people in high-prevalence countries, but are also exposed to significant risks at work in circumstances where protective equipment and practices are often deficient. A 2004 study in South Africa indicated that younger health workers there had an HIV-prevalence rate of 20 per cent. Such workers deserve much greater protection and care, including better supplies of protective equipment, safety schemes to prevent needle-stick injuries, prophylaxis in the event of possible exposure to the virus, and antiretroviral treatment if they become infected with HIV. Establishing continua of quality health care to reduce maternal and neonatal mortality and morbidity will require strategies to reduce the shortfalls in health-care personnel. While part of this gap will be filled by the recruitment and training of community health workers – whose resourcefulness has been shown to have great potential to provide basic services – much more needs to be done to train and retain skilled health-care workers, particularly in sub-Saharan Africa and South Asia.

See References, page 108.

leads to an extra one to two perinatal deaths per 100 deliveries.18 The risks to both mothers and babies increase according to the severity of the mutilation, but can include shock, haemorrhaging, infection and ulceration of the genital area – all of which increase the risks of maternal and neonatal mortality and distress.19

Abandoning female genital mutilation and cutting is critical to ensuring safe motherhood and reducing neonatal deaths. Successful initiatives in Senegal and other countries where female genital mutilation and cutting is widespread are based on the collective abandonment of this practice through community empowerment, open dialogue and a collective consensus.20

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© UNICEF/HQ06-2778/Bruno Brioni

Enhancing health facilities and strengthening referral systems are effective ways of improving maternal and newborn health. A mother watches as her infant is weighed by a health care worker at a maternal and child health centre, Côte d'Ivoire.

Eliminating violence, abuse and exploitation of women and girls Violence is prevalent in all societies. It undermines the physical health and emotional and psychological well-being of its victims. Gender inequities within households, workplaces and societies can foster a permissive context for violence. The extent of violence against women and girls and its impact on them has long been acknowledged. Until relatively recently, however, its measurement was largely restricted to specific studies. Large-scale studies by the World Health Organization and the recent United Nations studies on violence against women and children have revealed astounding levels of violence against women and children, but also sharp disparities in levels within countries and regions.21 The health consequences of violence increase the risk of poor physical and reproductive outcomes. Although many of the studies are indicative rather than conclusive, they show a correlation between violence against 36

women and girls and increased risk of maternal mortality and morbidity. • A study of 400 villages in rural India revealed that 16 per cent of all deaths among pregnant women were due to partner violence.22 • Sexual violence, especially rape, can result in involuntary pregnancies, particularly when used as a weapon of war in such conflicts as those in Bosnia and Herzegovina and in Rwanda, when women were raped repeatedly until they conceived.23 • Data suggest that involuntary pregnancies carry a greater risk than those that are wanted and that women with unwanted pregnancies are less likely to receive early antenatal care or give birth under medical supervision. Such pregnancies may also carry a greater risk of unsafe abortion – a significant cause of maternal death – depression, suicide and adverse family reactions to the pregnancy.24

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• Violence before or during pregnancy can lead to multiple health risks for the mother and child, including miscarriage, preterm labour and fetal distress. It can also prevent them from seeking medical care. A study from Nicaragua has shown that around 16 per cent of low birthweight in infants was related to physical abuse of a partner during pregnancy.25 • There are also reproductive implications of violence against women, including chronic pain, genital bruising and scarring, and unhealthy weight loss.26 • The psychological consequences of violence against women can also be devastating: depression, stress and anxiety disorders, post-traumatic stress and suicide.27 • Violence against mothers can create difficulties for the care and feeding of newborns. In addition, increasing evidence suggests that infants and young children are also at risk from

Combating violence against women and children is critical to improving maternal and newborn health.

violence, and that deaths from physical violence are underestimated.28 Combating violence and abuse against women and girls is a multifaceted process that will require strong action from governments, civil societies, international partners and communities to confront and address both the direct and underlying causes and consequences. Comprehensive mechanisms, covering legislation and its enforcement, research, programmes and budgets, increasing women’s voices in the debate and sustaining attention on the issue, will be imperative to reduce violence from its current level.

Participation in family, community, economic, social and political life Discrimination on the basis of gender can prevent women – the primary caregivers for children in all societies – from fully participating in the critical decisions and actions taken in households and communities that can affect maternal and child health. This issue was examined extensively in The State of the World’s Children 2007: The double dividend of gender equality, which showed that in a number of countries across sub-Saharan Africa, South Asia and the Middle East and North Africa, more than one third of women surveyed said that their husbands alone made the decisions regarding their health care. A considerable percentage of women surveyed in 30 countries across six

regions reported that they were not fully involved in household decision-making.29

newborn health. When women are able to participate in key decisions, studies have shown that they are more likely to ensure that their children are well nourished and to seek appropriate medical care for themselves and their children.30

Enabling women to participate more equally in the critical and routine decision-making processes that affect their lives, and those of their children, is pivotal to creating a supportive environment for maternal and

Enhancing women’s ability to participate in household decisions is only

Figure 2.5

Female genital mutilation/cutting, though in decline, is still prevalent in many developing countries Somalia

98

Egypt Guinea Sierra Leone

96 96 94 93

Djibouti Eritrea Sudan

89 89 85

Mali Gambia

78

Ethiopia Burkina Faso

73

Mauritania

72

74

45

Chad Guinea-Bissau Côte d’Ivoire Kenya

45 36 32

Senegal

28

Central African Republic Yemen Nigeria

26 23 19

United Republic of Tanzania Benin

15 13

Togo

6

Ghana Niger Cameroon Uganda Zambia

4 2 1 1 1

0

20

40

60

80

100

Percentage of girls and women aged 15–49 who have been mutilated/cut, 2002–2007*

* Data refer to the most recent year available during the period specified. Source: Demographic and Health Surveys, Multiple Indicator Cluster Surveys and other national surveys.

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Towards greater equity in health for mothers and newborns by Cesar G. Victora, Professor of Epidemiology, Universidade Federal de Pelotas, Brazil The issue of equity in health outcomes, and in access to essential primary-health-care services, is receiving greater attention in the field of maternal, newborn and child health. This focus is increasingly supported by emerging evidence and research on the extent of disparities in health and other development areas. Inequities are defined as systematic differences between population groups that are unfair and avoidable, and generally include disparities related to socio-economic position, gender, ethnic group and place of residence, among other factors. Having a skilled attendant at delivery – a key intervention for improving maternal and neonatal health and survival – is among the most inequitably distributed health interventions. Figure 2.6 shows the average share of births attended by skilled health personnel, based on results from recent national surveys of low- and middle-income countries. There are marked inequalities between the regions of the world, with Europe and Central Asia showing the highest coverage levels for all income groups, and sub-Saharan Africa and South Asia in particular trailing well behind. In addition to variations between regions, within each region there are important disparities by socio-economic position – as observed by comparing skilled attendance at delivery across income quintiles. Among the poorest 20 per cent of South Asian mothers, fewer than 10 per cent of births are delivered by a skilled attendant, compared to 56 per cent of births for

mothers from the richest income quintile in that region. The other developing regions exhibit similar disparities; even in Europe and Central Asia – where most countries with survey information are former socialist republics – the proportion of deliveries attended by skilled health personnel is significantly lower for the poorest women than for the most affluent. Other measures of disparity in health-care provision are also pronounced. Urban mothers and children in developing countries tend to have greater access to health care and better health status than their rural counterparts. Socio-economic inequities are similarly marked within urban areas, where health conditions among slum dwellers are particularly adverse. Within countries, state and provincial differentials in maternal and child health are also often wide, as exemplified by the sharp variations in health indicators between Brazil’s more prosperous southern states and its more impoverished north-eastern regions. Poor mothers and children are underserved along the whole continuum of care. Data from several sub-Saharan African countries were used to document the proportion of mothers and children who received a package of four essential interventions: antenatal care, skilled attendance at delivery, postnatal care and childhood immunization. Coverage with all four interventions was two to six times higher – depending on the country – among the richest groups than it was in the poorest groups. This inequitable pattern of health-care

Figure 2.6

Delivery attended by a medically trained person (%), 1991–2004

Mothers who received skilled attendance at delivery, by wealth quintile and region

100

Europe and Central Asia* Latin America and Caribbean*

80 East Asia and Pacific* 60

Middle East and North Africa* Sub–Saharan Africa*

40

South Asia* 20

0 Poorest

2nd

3rd

4th

Richest

Wealth quintiles

* See References on page 108. Source: Gwatkin, D. R., et al., Socio-economic differences in health, nutrition, and population within developing countries: An overview, Health, Nutrition and Population, World Bank, Washington, D.C., September 2007, pp. 123–124.

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provision both reflects and entrenches the social exclusion faced by the poorest and the most marginalized groups and helps explain why maternal, neonatal and child mortality show such marked socio-economic variations. Health systems have an important role in overcoming these disparities. Examples from across the developing world show that much can be, and is being, done to address and reduce disparities in access to essential services. • In the United Republic of Tanzania, prioritizing interventions to combat diseases that affect poor mothers and children, and allocating district health budgets preferentially to these conditions, led to marked reductions in mortality. • In Peru, the poorest departments (provinces) in the country are earmarked as the first to receive new vaccines; only after high coverage levels are reached in these districts are vaccines rolled out to the rest of the country. • In Bangladesh, the Integrated Management of Childhood Illness (IMCI) strategy was systematically deployed in the poorest areas of the country; a similar strategy is employed by Brazil’s Family Health Programme. Because the poor are more likely to live in rural and remote areas, use of appropriate channels for reaching them with essential services should be a primary concern of the health

sector. Figure 2.7 shows how implementation of the Accelerated Child Survival and Development (ACSD) strategy has reduced inequities in access to antenatal care in Mali. Whereas both ACSD and control districts showed marked social disparities before the programme was deployed in 2001, five years later access to antenatal care was significantly more equitable in districts with ACSD than in the control areas. The ACSD strategy relied heavily on outreach initiatives aimed at improving access for rural mothers living in remote areas. This finding, however, was not replicated in other ACSD countries where outreach activities were not strongly implemented. The reduction of inequalities in health is essential for the full achievement of human rights. Gaps in health-care provision contribute to the generation of these inequalities; consequently, health systems also play a role in their elimination. This is particularly true because the greatest gains in maternal, neonatal and child survival depend on effectively reaching the poorest and the most marginalized, who suffer the greatest burden of disease. There are many examples of successful initiatives that, when implemented with sufficient political support and adequate resources, have led to substantial reductions in health inequities. The main challenge for countries and societies is to disseminate these success stories, adopt best practices, and generate and sustain the political will to put equity at the top of the health agenda.

See References, page 108.

Figure 2.7

Women in Mali receiving three or more antenatal care visits, before and after the implementation of the Accelerated Child Survival and Development (ACSD) initiative

Women receiving 3 or more antenatal visits (%)

80

70

ACSD districts (2006, post-implementation)

60

Control group (2006)

50

ACSD (2001, pre-implementation)

40

Control group (2001)

30

20

10

0 Poorest

2nd

3rd

4th

Richest

Wealth quintiles Source: Johns Hopkins University 2008.

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part of the solution. Evidence from Demographic and Health Surveys indicates that much of women’s decision-making power is exerted at the community level.31 When women are empowered to participate in their communities, they can challenge the attitudes and practices that entrench gender discrimination, share work, pool resources and collectively devise and sustain initiatives to improve maternal and newborn health. It is the acumen of women acting collectively that is among the strongest reasons why most newborns and mothers survive pregnancy and childbirth.

Figure 2.8

Many women in developing countries have no say in their own health-care needs Mali

75

Burkina Faso

74

Nigeria

73

Malawi

71

Benin

61

Cameroon

58

Nepal

51

Bangladesh

48

Rwanda

48

Zambia

47

Kenya

43

Egypt United Rep. of Tanzania

41 39

Uganda

38

Ghana

35

Morocco

33

Mozambique

32

Zimbabwe

32

Haiti

21

Armenia

20

Peru

16

Indonesia

13

Madagascar

12

Jordan

12

Nicaragua

11

Bolivia

10

Turkmenistan

9

Eritrea

9

Colombia

9

Philippines

5 0

10

20

30

40

50

60

70

80

Percentage of women who say their husbands alone made the decisions regarding their health care, 2000–2004*

Increasing women’s participation in key decision-making processes in employment and political life is also critical to improving maternal and newborn outcomes. Improving economic status can be vital to enhancing women’s participation in decision-making, with attendant implications for the health of their children. When women have greater influence in the management of household decisions, they are more likely than men to ensure that children eat well and receive medical care.32 Owning assets can also enhance women’s influence in household decision-making; a study in rural Bangladesh showed that women who have a greater share of assets than their husbands before their own wedding have a stronger influence on household decision-making.33

* Data refer to the most recent year available during the period specified. Source: UNICEF calculations based on data derived from Demographic and Health Surveys.

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Despite some progress at increasing their representation in national legisla-

Encouraging women to participate more fully in decision-making is key to creating a supportive environment for mothers and newborns.

tures, women still accounted for less than 19 per cent of parliamentarians worldwide as of May 2008.34 According to United Cities and Local Governments, an organization that has been publishing data on women in local decision-making since 2003, they are also underrepresented in municipal governments, accounting for just 9 per cent of mayors in 60 countries surveyed and 21 per cent of local councillors in 67 countries surveyed.35 Given their limited, and relatively recent, engagement in parliamentary politics, the influence of women parliamentarians in determining maternal and newborn health outcomes is still unclear. The evidence suggests, however, that women parliamentarians are likely to strongly support and promote measures to assist women and children – prioritizing initiatives to provide improved child care and strengthen women’s rights.36 Women’s groups can also make a difference at the local level. In 2004, the advocacy by women’s rights activists persuaded the Government of Morocco to support a landmark family law countering gender inequality and protecting children’s rights. In the same year, women’s groups in Mozambique successfully campaigned to raise the legal age of marriage by two years to 16 with parental consent and to 18 without.37 Empowering women to participate more fully in household decisions, the economy and political life is key to creating a supportive environment for mothers and newborns. But the bene-

fits of women’s participation go well beyond their impact on health outcomes. They enable communities and societies to focus attention on the critical issues that affect two thirds of their citizens – women and children – and to arrive at decisions from a richer base of influences and considerations.

Empowering women and girls There is a considerable body of evidence testifying to the multiplier effects of investing in gender equality and women’s empowerment. Targeted investments in the education, reproductive health, and economic and political rights of women can bring about progress in poverty reduction, sustainable development and peace. The focus on wider economic and social benefits in international reports is understandable – they are often making a case for investment that competes with other development priorities for limited funds. But it is easy to lose sight of the benefits of women’s empowerment in and of itself. Women who are empowered are more able to take control of their own lives, act as change agents in their communities and actively pursue the best interests of their children and families. This may take the form of ensuring that income entering the household is spent on the things that matter most, such as nutritious food, education and health care. It may also mean demanding the services that will afford women the

best possible care during pregnancy and delivery and will safeguard the health of their babies. Cooperation between women at a local level is often a vital encouragement for women’s empowerment. Informal women’s groups generally gather for a practical purpose, such as organizing a vegetable garden to provide a source of income independent of their husbands – though the sense of solidarity and the problems shared in such groups can add to the sense of empowerment and to the demand for better maternal, neonatal and child health services.

Involving men and adolescent boys in maternal and newborn health and care Men are often conspicuously absent from reports advocating gender equality – except in so far as they represent the problem. They may appear in the guise of abusers or domestic tyrants, as wasters frittering away precious family income on inessentials or as irresponsible sexual partners taking no responsibility for contraception. In the field of maternal and newborn health, men are generally missing from the literature. The hundreds of millions of fathers and partners who are actively involved in seeking the best possible maternity care and who take full parental responsibility for their children’s well-being could be forgiven for feeling disregarded.

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Focus On

Adapting maternity services to the cultures of rural Peru

Peru, a lower-middle-income country where 73 per cent of the population lives in urban areas, has made enormous progress in reducing child deaths from 1 in every 6 children in 1970 to 1 in 50 by 2006. Between 1990 and 2007, the country’s underfive mortality rate dropped by 74 per cent – the fastest rate of decline in the entire Latin American and Caribbean region for that period. It has had less success, however, in the area of maternal health. Its maternal mortality ratio, estimated at 240 maternal deaths per 100,000 live births in 2005, is among the highest in the region. Moreover, Peruvian women face a lifetime risk of maternal mortality estimated in 2005 at 1 in 140, twice the regional average of 1 in 280. The country’s relative lack of progress in reducing maternal deaths has resulted in its inclusion on the expanded list of priority countries for the Countdown to 2015 initiative, whose criteria have now been broadened to include maternal mortality thresholds in addition to those for child mortality set out in 2005. According to the Ministry of Health, women in rural areas are twice as likely as those in urban areas to die from causes related to pregnancy. A skilled attendant was present at just 20 per cent of deliveries in rural communities in 2000, compared to 69 per cent in urban areas. Like other Latin American and Caribbean countries, Peru’s challenge for improving maternal and newborn health – and greatest potential for progress – is to address disparities due to ethnicity, geography and extreme poverty. This will require delivering quality services to women and infants in or near their places of residence and providing integrated routine and emergency maternity and newborn care. Part of the challenge is to adapt current health services, often facility-based or outreach, to the customs of the communities currently underserved by the health system. For example, following tradition and cultural practice, rural women may prefer to give birth at home in an upright position, under the guidance of traditional birth attendants, rather than in a health centre delivery room. Moreover, even if these mothers did decide to seek formal care, distance to a health facility, cost of services, language barriers and other impediments might deter them. Ensuring that mothers have the option of delivering in their homes, with the assistance of skilled birth attendants and a strong referral system to emergency obstetric care, if it is needed, may be an appropriate way to integrate formal health services with traditional practices. Towards this end, the Ministry of Health, in conjunction with UNICEF Peru, has developed a maternal health project that includes four key strategies:

• Fostering family and community support to make maternity and the mother’s condition a priority. • Increasing access to the lntegral Health Service, which covers the cost of antenatal, intrapartum and post-partum care for poor families. • Adapting maternity services to eliminate barriers between the staff at health facilities and mothers who have deeply rooted cultural traditions for childbirth. The maternal waiting houses, dubbed ‘Mamawasi’, are constructed to encourage women in rural areas to choose the option of giving birth in health centres instead of at home. Currently, there are almost 400 houses located on grounds belonging to health centres or hospitals; others are in rented buildings in the regions of Apurímac, Ayacucho and Cuzco. Pregnant women from near and distant communities can stay in the waiting rooms until they deliver. Women from remote villages may stay for weeks or months. The Mamawasi is designed to resemble a typical indigenous family home in a farming village. Expectant mothers are allowed to bring family members with them to the houses, which increases their confidence and comfort level in using the service. Health centres have also changed their practices. For instance, the vertical birth position is accommodated, a family member or traditional midwife is allowed to accompany women during birth, and the centres are kept at a warmer temperature. This programme has transformed everyday health services by promoting cultural sensitivity in health care. Huancarani district, located in the Andean province of Paucartambo, in the Cuzco region, has been the most successful in implementing the new strategy. Overall, almost 3 out of every 4 pregnant women now visit health-care centres in the regions served, especially for childbirth, whereas previously the ratio was 1 in 4. The programme has been integrated into district and provincial health policies and was adopted in 2004 by the Ministry of Health as a national standard to be implemented throughout the country. The Ministry of Health has also created training modules to teach health personnel how to make services culturally appropriate.

See References, page 108.

• Establishing maternal waiting houses to resolve the difficulty posed by geographic distance from health services.

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Focus On

Southern Sudan: After the peace, a new battle against maternal mortality

After 21 years of conflict, civil war between the north and south of the Sudan came to an end in 2005. While the fighting has mostly ceased, Southern Sudan is facing another struggle – against maternal and neonatal mortality. According to the 2006 Sudan Household Health Survey, the maternal mortality ratio for Western Equatoria, a province in Southern Sudan, stood at 2,327 deaths per 100,000 live births, one of the highest in the world. The 2006 neonatal mortality rate was 51 deaths per 1,000 live births, significantly above the Sudan’s national ratio of 41 per 1,000 live births. Overall health-care coverage, mostly managed through a small number of non-governmental organizations, is estimated at just 25 per cent. Even when health care is available, maternal health services are limited and not often used. Part of the reason may be a lack of education. The United Nations Population Fund (UNFPA) estimates that in 2006 the literacy rate for Southern Sudanese women was just 12 per cent, compared to 37 per cent for men; women therefore have limited access to health information. Another possible reason is that pregnant women must travel long distances on foot to reach antenatal centres; consequently, attendance rates vary sharply depending on location, from 17.4 per cent in Unity State in 2006 to nearly 80 per cent in Western Equatoria. Fewer than 15 per cent of births in Southern Sudan are attended by skilled health personnel, and 80 per cent take place at home under the supervision of relatives, traditional birth attendants or village midwives (a female birth attendant who has typically received around nine months of training). Yet most of the causes of maternal death – including prolonged obstructed labour, haemorrhage, sepsis and eclampsia – could be managed by better-trained attendants. The quality of available antenatal and delivery services is low due to a lack of technically skilled service providers. In all 10 states of Southern Sudan, midwives, traditional birth attendants and other maternal and neonatal care providers lack the necessary training required to perform simple lifesaving or nursing procedures. Lack of equip-

ment and supplies, poor referral systems and inadequate physical infrastructure and transportation also impede health-care delivery. Post-natal care services are virtually non-existent, despite the fact that most of the maternal and newborn deaths in Southern Sudan occur during the post-natal period. Against this background, the Government of Southern Sudan and its partners are making efforts to strengthen maternal health services. The Interim Health Policy for 2006–2011 outlines an integrated approach that recognizes the need to improve health services while protecting women's rights. The Ministry of Health has committed to establishing more primary, reproductive and maternal health facilities, while supporting the use of mass media and counselling services to disseminate information on nutrition, harmful traditional practices and sexual health. To meet immediate health-care needs, community midwives who hold basic qualifications are being ‘fasttracked’, with support from UNFPA. In June 2006, the first fistula repair centre in Southern Sudan was established at the Juba Teaching Hospital. To accelerate implementation of this strategy, the Government has already established a Reproductive Health Directorate and is recruiting state coordinators to facilitate, monitor and coordinate maternal and neonatal health activities in each state. UNICEF is supporting the expansion of antenatal and emergency obstetric services in several states and the dissemination of key health messages over the radio and through community outreach. There are challenges ahead. The return of refugees and the movements of many displaced populations, Southern Sudan’s high fertility rate (6.7) and increasing rates of HIV infection among some populations necessitate a systematic health programme. The struggle may be a long one, but those committed to winning it are already at work.

See References, page 108.

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The other side of the coin is that in removing men from the picture, they may somehow be let off the hook, validated in their lack of responsibility for this most essential aspect of family life. The birth of a child, particularly a first child, is often a landmark moment in a man’s life. It can crystallize his sense of himself as a caring, responsible human being on whom other people depend. More generally, involving men in the care of their pregnant partners and newborn children can be a significant opportunity to establish a positive, supportive relationship that will last a lifetime.

44

Evidence has shown that men are more likely to be engaged, participatory fathers when they feel positive about themselves and their relationships, and when families and friends support their involvement in their children’s lives. A man who shares the responsibility for parenthood is also more likely to share the household decisionmaking with his female partner, thereby contributing to her own empowerment.38 Programmes that encourage the participation of both men and women can help this process by increasing communication between

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the sexes and encouraging a more equal division of childcare duties. In addition, workplaces need to recognize the role played by both parents in child rearing, so that men as well as women are encouraged to reconcile their work and family responsibilities.

Linking the supportive environment to the continuum of care Creating a supportive environment for maternal and neonatal health will provide a strong foundation for upscaling essential interventions within a dynamic continuum of care, which is the focus of Chapter 3.

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© UNICEF/HQ06-0567/Shehzad Noorani

3

The continuum of care across time and location: Risks and opportunities

An effective continuum of care delivers essential services for mothers and children at critical points in adolescence, pre-pregnancy, pregnancy, birth, post-natal and neonatal periods and at key locations of the household and community, through outreach/outpatient interventions and in health facilities where they can be readily accessed by women and children. Community partnerships in health are essential components of a continuum of care. Perhaps most vital to reducing maternal and newborn mortality, however, are quality antenatal care, skilled health personnel attending deliveries and post-natal care for mothers and newborns. Ensuring that emergency obstetric and newborn care is available to address birth complications could save many lives currently lost during childbirth and the early neonatal period. The third chapter of The State of the World’s Children 2009 examines the key services underpinning the continuum of care and how these interventions can be expanded and improved.

The continuum of care: Delivering services at critical points At every stage of life, from childbirth to old age, there are pressing health demands. The services that aim to respond to the interrelated health needs of mothers and newborns require high levels of continuity and integration – characteristics that have not always been evident in national and international health policies, programmes and partnerships seeking to improve maternal and newborn health. The continuum of care framework aims to transcend the traditional emphasis on single, disease-specific interventions. It advocates a model of primary health care that embraces every stage of maternal, newborn and child health. The success of this framework, however, depends on delivering essential services and implementing improved practices at key points in the life cycle, linking mothers, newborns and their households and communities with quality basic health care and maternity services.1

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Chapter 3 outlines the essential services required to support a continuum of maternal and neonatal care, including enhanced nutrition; safe water, sanitation and hygiene facilities and practices; disease prevention and treatment; quality reproductive health services; adequate antenatal care; skilled assistance at delivery; basic and comprehensive emergency obstetric and newborn care; post-natal care; neonatal care; and Integrated Management of Neonatal and Childhood Illness. This chapter also briefly examines the points of delivery for health services: at the household and community level, outreach and outpatient services, and facility-based care. Quality reproductive health services While targets for reproductive health were not initially included in the Millennium Development Goals (MDGs), at the World Summit in September 2005 the decision was taken to achieve universal access to reproductive health by 2015.

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Subsequently, a new MDG framework was adopted and the revised goals of January 2008 include a reproductive health target (see Panel, page 20, for details of the new target and indicators). The new target reflects, in part, a growing consensus on the need to improve reproductive health. Another goal is to curb the growing incidence of reproductive tract and sexually transmitted infections, including HIV. The World Health Organization (WHO) has identified unsafe sex as the second most important risk factor for death and disability in the poorest countries and the ninth most important in developed countries.2 Almost half of all new HIV infections occur in young people, particularly women, with around double the number of women as men infected with HIV in sub-Saharan Africa.3 Building reproductive health capacity at the national level will necessitate identifying problems, setting priorities and formulating strategies with the participation of all stake-

Adequate nutrition for women, including increased food intake and micronutrient supplementation, is critical to the health and survival of mothers and newborns.

holders. WHO has identified five key priorities for action on reproductive health-care services. These include strengthening health systems capacity; improving information for setting priorities; mobilizing political will; creating supportive legislative and regulatory frameworks; and strengthening monitoring, evaluation and accountability.4 Enhancing nutrition for mothers and newborns

© UNICEF/DJBA00265/Giacomo Pirozzi

Adequate nutrition for adolescent girls and pregnant women is critical for the health and survival prospects of both mothers and newborns. The undernutrition of young mothers increases the health risks for both them and their babies. A low body mass index (less than

18.5 kg/m2) for pregnant women increases the risk of both maternal and neonatal mortality; the same applies if a mother is stunted. Low body mass can restrict the growth of the fetus, which is a risk factor for neonatal conditions such as low birthweight.5 Programmes targeted towards improving maternal health are increasingly focusing on enhancing the nutrition of girls and women across the life cycle. Along with increased food intake, folic acid and iron supplementation are being encouraged during prepregnancy and pregnancy, and vitamin A supplementation during the postpartum period. In addition, dietary diversification, the use of iodized salt and deworming are key interventions

to strengthen the nutritional status of pregnant women and mothers. Folic acid supplementation to prevent neural tube defects has proved successful, and in general, antenatal programmes should also offer other micronutrients, such as zinc. There are proven links between zinc deficiency and stunting, diarrhoea and malaria.6 Gaining the confidence of pregnant women through such programmes of micronutrient supplementation can be a useful way to encourage their continued attendance for other forms of professional antenatal care. Increased use of clinics and hospitals will also help in collecting data on the health of pregnant women and mothers, which is

More skilled health workers are needed to provide vital services to women at critical points during pregnancy. A pregnant woman lies on a table as a nurse performs an antenatal consultation at the Engueila Health Centre, Djibouti.

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Reducing the incidence of infectious conditions and preventing and treating HIV and malaria are vital to improving maternal and newborn health.

particularly scarce in the least developed regions and poorest countries and communities. Addressing infectious diseases, HIV and malaria As Chapter 1 underscored, severe infections are among the leading direct causes of maternal and neonatal deaths. They accounted for roughly 36 per cent of neonatal deaths in 2000, the latest year for which firm estimates of cause of death are available. Reducing the incidence of infectious conditions such as sepsis/pneumonia, tetanus and sexually

transmitted infections, and preventing and treating HIV and malaria, are therefore critical to improving maternal and newborn health (see Panel on Eliminating maternal and neonatal tetanus, page 49). Preventing HIV infection in women of childbearing age and treating infected pregnant women with available drug combinations can greatly reduce the transmission of the virus to children. Raising levels of comprehensive knowledge of HIV among young women and men aged 15–24 is vital to averting infection. In 14 of

Figure 3.1

Protection against neonatal tetanus 71

West/Central Africa

81

Eastern/Southern Africa

85

South Asia 77

Middle East/North Africa N/A

East Asia/Pacific Latin America/Caribbean

83 N/A

CEE/CIS

81

World 76

Sub-Saharan Africa* Developing countries

81

Least developed countries

81 0

10

20

30

40

50

60

70

80

Source: UNICEF and the World Health Organization.

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In line with the new MDG focus on reproductive health, programmes aimed at improving maternal survival should include interventions to help reduce the incidence of, and treat, sexually transmitted infections. The distribution of insecticidetreated mosquito nets to pregnant women in malaria-endemic areas can reduce the incidence of malaria infection, improving the health of both the pregnant woman and her unborn child. Intermittent preventive treatment of malaria during pregnancy is being used to both prevent and treat the disease. It consists of administering a single dose of a combined antimalarial medicine at least twice during pregnancy whether the pregnant woman has the disease or not. Although considered efficacious, coverage of this treatment remains limited in malaria-endemic areas.8 Expanding antenatal care

90

Percentage of pregnant women vaccinated against tetanus, 2007 * Sub-Saharan Africa comprises the regions of Eastern/Southern Africa and West/Central Africa.

the 17 countries with sufficient data, HIV prevalence rates among pregnant women aged 15–24 have declined since 2000/2001.7 This positive development is encouraging, but much more needs to be done to boost HIV prevention activities and to address the social, economic and political drivers of the AIDS epidemic.

Much ill health among pregnant women is preventable, detectable or treatable through antenatal visits. Antenatal care provides an opportunity to reach pregnant women with multiple interventions that could be

Eliminating maternal and neonatal tetanus Tetanus remains a significant cause of maternal and neonatal deaths, taking the lives of more than 180,000 newborns and between 15,000 and 30,000 mothers in 2002. The condition develops when a bacterium, Clostridium tetani, infects a cut or wound. Unclean delivery or abortion practices can result in maternal tetanus, while neonatal tetanus is caused by the unhygienic care of the umbilical cord or umbilical stump in babies. In the absence of intensive hospital care, neonatal tetanus is nearly always fatal. As with other causes of maternal and neonatal deaths, most of the fatalities from tetanus take place in sub-Saharan Africa and Asia, especially in poor and marginalized communities where women have limited or no access to quality health care and little knowledge of safe delivery practices. Tetanus is readily preventable through the vaccination of adult women and through hygienic delivery practices. Increasing implementation of both measures, particularly immunization of pregnant women, has significantly reduced the number of cases and deaths from maternal and neonatal tetanus since 1980, the earliest year for which comprehensive data are available. In 1988, tetanus was responsible for causing around 800,000 neonatal deaths, and more than 90 countries reported one or more cases of neonatal tetanus per 1,000 live births at the district level. By mid-2008, the number of countries reporting one or more cases of maternal and neonatal tetanus at the district level had dropped to 46. Immunization has been among the most significant counteractions against maternal and neonatal tetanus. Tetanus toxoid has proved efficacious against the disease, with two doses providing protective concentrations of antitoxins in the majority of cases, and almost 100 per cent immunity after the third dose. The global rate of vaccination against neonatal tetanus for pregnant women has risen sharply since 1980, when it stood at just 9 per cent, to 81 per cent in 2007. Nonetheless, this still leaves almost 1 in every 5 newborns without protection. In part, this is due to missed opportunities for vaccinating pregnant women who visit facilities to receive antenatal services, to women arriving too late for immunization, or to the failure to provide post-partum immunization to protect future pregnancies.

between 1999 and 2005. The results have been impressive at the country level: • In Nepal, before immunization started in the early 1980s, surveys showed high rates of neonatal tetanus among newborns. After the introduction of immunization of adult women and the implementation of the high-risk approach, the rate had fallen by 2005 to less than 1 death from neonatal tetanus per 1,000 live births in every district. • A survey conducted in Egypt in 1986 indicated that for every 1,000 children born, 7 would die of neonatal tetanus, with rates of 10 per 1,000 live births in rural areas. Following implementation of the high-risk approach, by 2007, the rate was brought down to less than 1 death per 1,000 live births in all districts. • In the mid-1980s, Bangladesh had a high rate of neonatal tetanus, which stood at 20–40 cases for every 1,000 live births in some parts of the country. At that time, only 5 per cent of women of childbearing age were immunized with tetanus toxoid and only 5 per cent of pregnant women were able to have a clean delivery. Adoption of the highrisk approach helped Bangladesh reduce its mortality from neonatal tetanus to less than 1 death per 1,000 live births by 2008. Some places have used the high-risk approach to deliver other interventions alongside tetanus toxoid vaccine, including measles vaccine (e.g., Kenya, Southern Sudan) and vitamin A (e.g., Democratic Republic of the Congo). Others, such as Ethiopia, Uganda and Zambia, have incorporated the approach in mechanisms for delivering packages of essential interventions. A key benefit of the high-risk approach is that, in addition to reducing neonatal tetanus, it diminishes inequities in access to maternal and neonatal health care within countries and shows that it is possible to deliver health interventions to populations that have often been forgotten or omitted.

See References, page 109.

Those at risk of tetanus live in communities that have little access to health and immunization services. To reach them, an innovative solution – dubbed the ‘high-risk approach‘ – was initiated. This approach aims to immunize all women of childbearing age living in areas deemed to be high risk with at least two doses of tetanus toxoid (TT) vaccine. The risk factors for tetanus, which include unhygienic delivery practices and lack of immunization, are explained to the communities. Improvements in delivery practices are promoted, and surveillance for neonatal tetanus is strengthened. Booster shots are provided to women with no recorded history of receiving tetanus toxoid vaccine when they were children. The high-risk approach has been widely adopted, enabling 64 million women to receive at least two doses of tetanus toxoid

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Antenatal care provides an opportunity to reach pregnant women with multiple interventions, such as immunization, micronutrient supplementation and improved hygiene practices.

vital to their well-being and that of their babies. Nutritional supplements for protein, folic acid and iron provided by skilled health workers or community health workers can have beneficial effects, reducing the likelihood of undernutrition and anaemia in the mother and low birthweight in the newborn. The minimum number of antenatal care visits during pregnancy recommended by UNICEF and WHO is four. These visits help provide key services to pregnant women, includ-

ing measures to detect and treat malaria and anaemia; tetanus immunization; management of sexually transmitted infections and antiretroviral therapy for HIV-positive pregnant women; and provision of vital information to pregnant women on risks in pregnancy and delivery. Owing to data limitations, and the fact that many countries are delivering far below the UN interagency minimum recommendation, most of the data relate to women who have received at least one antenatal visit.9

Figure 3.2

Antiretroviral prophylaxis for HIV-positive mothers to prevent mother-to-child transmission of HIV

West/Central Africa

43

South Asia

13

Packaging essential interventions, including those for which there is already a strong interest — such as insecticide-treated mosquito nets — has the potential to strengthen demand for, and use of, antenatal services. It may also encourage women to attend clinics and outreach events for antenatal care earlier in their pregnancies.

38

East Asia/Pacific

36

Latin America/Caribbean

71

CEE/CIS

Low- and middle-income countries

33

0

10

20

30

40

50

60

70

80

90

Estimated percentage of HIV-positive pregnant women who received antiretrovirals for prevention of mother-to-child transmission of HIV, 2007

Source: UNICEF, UNAIDS and WHO, Towards Universal Access: Scaling up HIV services for women and children in the health sector – Progress Report 2008, UNICEF, New York, 2008, p.43.

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In three regions – Latin America and the Caribbean, Central and Eastern Europe and the Commonwealth of Independent States, and East Asia and the Pacific – around 9 out of every 10 pregnant women receive antenatal visits one or more times. These percentages are far lower in the Middle East and North Africa, sub-Saharan Africa (both 72 per cent) and South Asia (68 per cent). Even at the relatively low coverage rates in these regions, however, antenatal care represents a significant opportunity to reach a large proportion of pregnant women with essential interventions.10

11

Eastern/Southern Africa

In the developing world as a whole, three quarters of pregnant women receive antenatal care from a skilled health provider at least once, though the household surveys that record this data give no indication of the quality of the care or the information conveyed.

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Ensuring skilled attendance at delivery Childbirth can be a time of risk not only for the baby but also for the

In the least developed countries, 1 in 3 women do not receive any antenatal care during pregnancy, and 3 in 5 women deliver their babies without the assistance of a skilled health worker.

Figure 3.3

Antenatal care coverage West/Central Africa

Antenatal visits from skilled health personnel during pregnancy:

71

44

72

Eastern/Southern Africa

40

South Asia

At least four times

68

34

At least once

72

Middle East/North Africa

N/A

East Asia/Pacific

89

66**

Latin America/Caribbean

94

83 90

CEE/CIS

N/A

World

77

47

Sub-Saharan Africa*

72

42

Developing countries

77

46**

Least developed countries

64

32 0

10

20

30

40

50

60

70

80

90

100

Percentage of women aged 15–49 receiving antenatal care during pregnancy, 2000–2007 * Sub-Saharan Africa comprises the regions of Eastern/Southern Africa and West/Central Africa. ** Excludes China. Source: Demographic and Health Surveys, Multiple Indicator Cluster Surveys and other national household surveys.

mother. Three quarters of all maternal deaths occur from complications either during delivery or in the immediate post-partum period. These complications include: haemorrhage (25 per cent of maternal deaths); infections (15 per cent); complications of abortion (13 per cent); eclampsia or related hypertensive disorders (12 per cent); and obstructed labour (8 per cent).11 Reducing maternal deaths from birth complications is possible through increasing the number of births attended by a skilled health worker – a doctor, nurse or trained midwife. Trained health personnel should not only be able to assist with a normal delivery or a delivery with moderate

complications, they should also recognize when serious complications arise that require more specialized emergency care. Even skilled health workers, however, require access to essential drugs, supplies and equipment to provide adequate care – particularly when complications such as haemorrhage, sepsis and obstructed labour occur. They also require the skills and judgement to recognize serious complications and to manage an effective referral. There has been a marked increase in the number of deliveries attended by skilled personnel across the developing world over the last decade, with the notable exception of sub-

Saharan Africa. In the 2000–2007 period, skilled health workers attended 61 per cent of the total number of births in the developing world. The improvement has been particularly striking in the Middle East and North Africa, which increased its coverage from 55 per cent in 1995 to 81 per cent in 2000–2007. The two regions with the lowest levels of skilled birth attendance – subSaharan Africa (45 per cent) and South Asia (41 per cent) – are also the regions with the highest incidence of maternal mortality.12 A quarter of the world’s unattended deliveries take place in India, which is also one of the 10 countries that

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With three quarters of all maternal deaths occuring during childbirth or the immediate post-partum period, having skilled health personnel attend deliveries is pivotal to reducing maternal mortality.

together account for two thirds of births not attended by skilled health workers. India is currently seeking to address the problem by encourging facility-based care with financial incentives13 (see Panel on Integrating maternal and newborn health care in India, page 84).

holds are around half as likely to be attended by skilled health workers as those from the richest households.14 (For a fuller discussion of disparities in access to maternity services, see Panel on page 38, Towards greater equity in health for mothers and newborns.)

Worldwide, births in urban areas are twice as likely to be attended by skilled health personnel as those in rural areas. In West and Central Africa, where the disparity is greatest, they are two and a half times as likely. Disparities along economic lines are also notable; for the developing world as a whole, deliveries of women from the poorest house-

WHO has made several recommendations for reducing post-partum bleeding or haemorrhage, a leading cause of maternal death. The most common causes of post-partum bleeding are failure of the uterus to contract sufficiently, tears of the genital tract and retention of the placental tissue. The most widely accepted method of intervention is active

management of the third stage of labour, which follows the completed delivery of the newborn child and lasts until the completed delivery of the placenta. Active management involves administering a uterotonic to facilitate contractions for delivery of the placenta and delayed clamping, cutting and traction of the umbilical cord. WHO recommends active management by skilled attendants for all mothers but does not recommend the package for unskilled attendants. The agency has called for further research on optimal times for cord clamping and what drugs, if any, non-skilled attendants should administer.

Figure 3.4

Delivery care coverage 46 49

West/Central Africa 33

Eastern/Southern Africa

40

35

South Asia

Institutional** deliveries Skilled attendant*** at birth

41 71

Middle East/North Africa

81 73

East Asia/Pacific

87 86 85

Latin America/Caribbean

89

CEE/CIS

54

World 40

Sub-Saharan Africa*

32

Least developed countries 0

20

62

45 54

Developing countries

94

61

39 40 60 Percentage, 2000–2007

80

100

* Sub-Saharan Africa comprises the regions of Eastern/Southern Africa and West/Central Africa. ** Institutional deliveries refers to the proportion of women aged 15–49 years who gave birth in the two years preceding the survey and delivered in a health facility. *** Skilled attendant at birth refers to the percentage of births attended by skilled health personnel (doctors, nurses and midwives). Source: Demographic and Health Surveys, Multiple Indicator Cluster Surveys, World Health Organization and UNICEF.

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Addressing disparities will be critical to improving maternal health. Women from the poorest quintile of households are only half as likely to be attended by skilled health workers as those from the richest households.

Hypertensive disorders: Common yet complex Hypertensive disorders are the most common medical problems in pregnancy and account for a significant proportion – between 12 and 20 per cent – of maternal deaths worldwide. They affect women in every region, causing nearly 10 per cent of maternal deaths in Africa and Asia, over 16 per cent in industrialized countries, and more than one quarter in Latin America and the Caribbean. Hypertension in pregnancy can result in a range of conditions, from elevated blood pressure, the least severe, to cerebral haemorrhage, which is fatal. It can result in fetal death, preterm delivery and low birthweight in newborns. The causes of hypertension are still not fully understood, but research suggests that obesity, high salt intake and genetic predisposition are factors. Some forms of hypertension in pregnancy may arise from the biology of pregnancy itself. Preeclampsia, which develops after the first 20 weeks of pregnancy, is defined as pregnancy-induced hypertension accompanied by excess protein in the urine, and brings the greatest risk to maternal and fetal health, particularly when it accompanies chronic hypertension. It is a leading cause of premature births. Several risk factors predispose mothers to these disorders, including first pregnancy, multiple pregnancy, history of chronic hypertension, maternal age over 35, gestational diabetes, obesity and fetal malformation. One study showed that intervals of 59 months or longer between pregnancies were also associated with higher rates of pre-eclampsia and eclampsia. Researchers have also proposed that hormonal imbalances, calcium deficiency and insulin resistance are possible causes.

both industrialized and developing countries, and follow-up studies have produced strong evidence that magnesium sulfate given to women in the pre-eclampsia stage can reduce their risk of progression to eclampsia. Subsequent studies have strengthened the evidence base for this critical and cost-effective intervention. Ideally, care should begin before conception, so that a reproductive woman’s medical history can be tracked and her options for managing chronic hypertension known. Hypertensive women also need information about their risks in pregnancy and changes in their lifestyle that illness may require. Bed rest is a common recommendation for hypertensive pregnant women. Regular examinations by skilled health personnel are required to monitor the onset and development of pre-eclampsia and other hypertensive conditions. Hypertension in pregnancy has long been understood as an obstetric condition, with interventions focusing mostly on outcomes for the pregnancy and less on long- and short-term effects on the mother. New research has shown, however, that hypertension in pregnancy can also affect the post-natal health of a mother, increasing her risks of developing chronic hypertension and cardiovascular disease. With high maternal mortality and morbidity resulting from these disorders, further research is warranted. Treatment or management of these conditions will have great significance for the continuum of care model of maternal and newborn health care.

See References, page 109.

Calcium supplementation has been shown to be an effective intervention in developing countries where pregnant women may be calcium deficient, reducing the incidence of pre-eclampsia by 48 per cent. If this intervention has a similar effect on maternal deaths from hypertensive disorders, calcium supplementation could prevent some 21,500 maternal deaths. The Magpie Trial, the largest trial for hypertensive disorders of pregnancy, conducted in 1998–2002 in

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Providing emergency obstetric and newborn care, and making post-natal care available, are key challenges and opportunities for enhancing maternal and newborn health.

tions. The quality of care delivered by the facility is critical: To provide adequate assistance it must have adequate medicines, supplies, equipment and personnel. In addition, it should be able to perform potentially life-saving functions such as Caesarean sections, blood transfusions and newborn resuscitation.

Other risks from childbirth can also be addressed with skilled care. The World Health Organization recommends that a woman with eclampsia or pre-eclampsia be hospitalized in the days leading up to delivery to receive treatment with magnesium sulphate. Most infections are treatable with antibiotics. Some infections, such as tetanus, can easily be avoided through immunization programmes and sterile umbilical cord practices15 (see Panel on page 49, Eliminating maternal and neonatal tetanus).

Data on emergency obstetric care in developing countries are often scarce. Studies have shown that around 15 per cent of live births are likely to need emergency obstetric care, and Caesarean sections may be required in 5–15 per cent of births. It is evident that there are many important gaps in coverage, especially in rural areas of sub-Saharan Africa, where

Providing emergency obstetric and newborn care Timely care in a medical facility is often necessary to save the life of a woman experiencing birth complicaFigure 3.5

Emergency obstetric care: Rural Caesarean section 1

West/Central Africa Eastern/Southern Africa

2 5

South Asia Middle East/North Africa

12 4

East Asia/Pacific* Latin America/Caribbean

13

CEE/CIS

6

4

World 2

Sub-Saharan Africa** Developing countries*

4

Least developed countries

2 0

2

4

6

8

10

12

14

Percentage of live births in rural areas delivered by Caesarean section, 2000–2006 * Excludes China. ** Sub-Saharan Africa comprises the regions of Eastern/Southern Africa and West/Central Africa. Source: Demographic and Health Surveys, other national household surveys and UNICEF.

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rates of Caesarean section are around 2 per cent.16 Factors hindering the provision of emergency obstetric care include distance, direct user charges, transportation and accomodation costs, knowledge and cultural barriers, among others. Furthermore, the quality of care offered may also prove a deterrent, as shown in a study in northern United Republic of Tanzania, which indicated that the poor quality of care in facilities was the main barrier to access.17 Making post-natal care available There is a clear need for far greater emphasis on post-natal care – an intervention that has long been neglected in many developing countries, and one that represents a gap in the continuum of care. An urgent need is for care in the immediate post-partum period, as evidence indicates that the risks of maternal mortality and morbidity are high in the 48 hours immediately following birth. Post-natal care is often critical for newborns, particularly immediately after birth. Around three quarters of neonatal deaths take place in the first week, with up to half of these occurring within 24 hours of birth. In many developing countries, mothers are likely to be discharged from a health facility within 24 hours of giving birth or may lack access to skilled professional care. Evidence shows that even once the high-risk period is over, the risks of maternal mortality and morbidity continue for at least 42 days after birth, and can even extend

Establishing a continuum of quality maternal and neonatal health care will require the recruitment and training of skilled health personnel and community health workers. A nurse tends to a newborn baby at a paediatric hospital, Democratic People’s Republic of Korea.

© UNICEF/HQ07-0367/Dan Thomas

(See Panel on page 62, Kangaroo mother care in Ghana).

to six months to a year. The main causes of post-partum mortality are severe bleeding, infections and hypertensive disorders. Treating these conditions will require the skilled care and attendance at birth outlined in earlier sections of this chapter.18 Routine post-natal visits are necessary in the high-risk post-partum period, when any complications need to be promptly detected and referred to more expert services if required. Even in the absence of complications, these visits can provide essential information and guidance on maternal and newborn health – especially on the care and feeding of babies, the danger signs of illness, referral processes and improved hygiene practices. Studies show that fewer neonatal deaths occur when mother and baby are visited within 48 hours of birth. Mothers who are HIV-positive and babies born prematurely need particular attention.19 Low birthweight infants require special attention, particularly for temperature management.

Even mothers who benefit from immediate post-partum care are often neglected in the days and weeks that follow. Their next contact with health workers may be at the sixweek period, when the baby is due to receive the first round of immunizations. Evidence shows that mothers seek post-natal care less often than antenatal care or a supervised delivery, even if they are suffering from post-partum bleeding or conditions such as fistula and uterine prolapse.20 Effective post-natal care requires care and attention during the immediate post-partum period and also several follow-up visits. Enabling mothers to return to health facilities, or following up with outreach visits in the days and weeks following childbirth, can be challenging – there may be costs or difficulties in arranging transport and visitation, or cultural reasons that make a return to the clinic or hospital unlikely. This is why outreach visits can have a vital part in maintaining maternal and neonatal health, irrespective of where the birth took place. (See Panel on page 57, The first 28 days of life, and Panel on pages 80–81, Saving mothers and newborn lives – the crucial first days after birth). Little is known about the effects and extent of depression during pregnancy and the post-partum period in developing countries. Research has identified partner and social support,

life events, the experience of motherhood and infant temperament as critical factors in the onset of depression during the post-natal year. While it is estimated that around 10–15 per cent of women in industrialized countries may experience depression during the weeks and months after delivery, information on this condition in the developing world is scarce. Small-scale studies from Pakistan and Viet Nam indicate that women who suffer from depression tend to have underweight infants, and research from India suggests that children of depressed mothers may face a higher risk of stunting.21 Healthy practices for newborn care Prevention of newborn deaths requires skilled care more than technology, and demands flexible and responsive systems of intervention. The state of the health system, social context and local practices matter just as much as epidemiological risks. Neonatal health can be improved, for example, by practices that do not have high costs attached, such as clean delivery conditions and the promotion of early and exclusive breastfeeding, and by ensuring that the mother is healthy when she gives birth. Recent progress has been achieved in providing simple, cost-effective interventions that have a positive impact on neonatal health, including tetanus immunization, the use of insecticide-treated nets to combat

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Promoting healthy behaviours for mothers and newborns, particularly in

© UNICEF/HQ05-1795/Giacomo Pirozzi

nutrition and hygiene, is vital to reducing health risks and morbidity.

Skilled health personnel, with access to proper equipment and support, can provide critical life-saving interventions when emergencies arise during labour and childbirth. A newborn is monitored by a medical worker in a children's hospital, Ukraine.

malaria and micronutrient supplementation. A study tracking coverage of interventions for maternal, newborn and child survival found greater improvement in the delivery of these types of preventive intervention than of curative care. Progress on actions focusing on behavioural changes, such as breastfeeding, was mixed.22 Since the early 1990s, the emphasis in coping with these manifold threats to the lives of children has been on a broad, cross-cutting approach that recognizes there is normally more than one contributory cause to any ailment. This approach, introduced by 56

UNICEF and the World Health Organization, became known as the Integrated Management of Childhood Illness (IMCI), and it has met with increasingly positive results. More recently, this integrated model has been incorporated into the maternal, newborn and child health continuum of care.

The continuum of care: Linking lives to places It is now recognized that linking interventions in packages can also increase their efficiency and costeffectiveness. In addition, when services are integrated there is both more

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incentive for people to use them and greater opportunity to extend and enhance coverage. The goal is to develop a comprehensive primaryhealth-care system that provides women and children with essential interventions and strengthens the links between households and health facilities that have so often been missing in the past. Household practices and behaviours When children fall ill, the first point of intervention inevitably lies in the hands of their families, especially their parents, close relatives and guardians. The initial diagnosis of

The first 28 days of life by Zulfiqar A. Bhutta, Professor and Chairman, Department of Paediatrics & Child Health, Aga Khan University, Karachi, Pakistan It is widely recognized that a large proportion of child deaths occur in the newborn period, the first 28 days of life. Of an estimated 9.2 million deaths of children under five around the world in 2007, around 40 per cent occurred in the newborn period. In many developing countries, deaths of newborns account for over half of all deaths in infancy, with the vast majority occurring in the first few days of life. The major causes of such deaths are serious infections (36 per cent), prematurity (27 per cent), birth asphyxia (23 per cent) and congenital malformations (7 per cent). These figures do not include an estimated 3 million stillbirths annually. Some 30–40 per cent of these stillbirths may be related to events during labor and delivery, which in turn may result from intrauterine problems and asphyxiation. The relative lack of progress in reducing newborn deaths is due to several factors. Most important is that, unlike health in the post-natal period (29 days to 59 months), newborn health is closely tied to maternal health. Improving it requires interventions that address complex issues such as maternal empowerment, sociocultural taboos and healthsystem responsiveness. Specific factors leading to neonatal deaths include: • A lack of attention to maternal health, with limited access to skilled care providers. • The poor state of maternal health care, especially during home births, which are associated with at least half of all newborn deaths. • Inadequate recognition of newborn illnesses and insufficient care-seeking among families and communities. • A limited repertoire of interventions for early neonatal disorders such as birth asphyxia and problems due to premature birth. • A lack of consensus on interventions and delivery strategies to prevent and treat serious neonatal infections – other than neonatal tetanus – in community settings. Recent years have brought significant improvement in our understanding of neonatal illnesses and mortality. Inequities in distribution of maternal and newborn deaths indicate that most deaths occur in poor, rural populations and in oftenignored urban squatter settlements. Many countries also recognize that reaching the Millennium Development Goal for reducing child mortality will not be possible without improving care for mothers and newborns, focusing efforts on reducing deaths during the first 28 days of life. The evidence supporting strategies and interventions that use community partnerships has also improved. A number of programmes, largely based in South Asia, have attempted to reduce newborn morbidity and mortality in community settings using innovative approaches. In a landmark study undertaken in rural Maharashtra, India, Dr. Abhay Bang and his colleagues trained community health workers, working with traditional birth attendants, to recognize serious neonatal illnesses such as birth asphyxia or suspected bacterial infections and treat them with home-based resuscitation or oral and injectable antibiotics, respectively. The programme showed a significant reduction in neonatal mortality through these home-based newborn care strategies. More recently, researchers from Johns Hopkins University have demonstrated the efficacy of using trained community health workers to

deliver an integrated package of preventive and curative newborn care in Sylhet, rural Bangladesh. While home-based care provision was important in these studies, it is possible that major benefits also accrued from improved family practices and newborn care. In a study in Makwanpur, in rural Nepal, women’s support groups, assisted by trained facilitators, effected a significant reduction in neonatal mortality. Further studies have shown that a concerted strategy of community-based education in newborn care can lead to significant change in practices and reductions in neonatal mortality. All of these recent studies provide evidence that communitybased education in improved maternal and newborn care and home-based treatment for newborn infections can significantly enhance newborn survival. To affect public-health systems in the foreseeable future, these strategies need to be replicated at scale using feasible motivation and training of available health-care workers. Such an expansion has taken place in rural Pakistan, where community-based Lady Health Workers work with village health committees and women’s groups. A recent evaluation of the Pakistan initiative has shown a significant reduction in perinatal and neonatal mortality and improved care-seeking for skilled maternal care. This emerging evidence provides support for strategies to improve maternal and newborn health in the very communities and families with the highest burden of mortality and least access to quality health care. The challenge is to integrate effective strategies and interventions across the continuum of maternal and newborn care in both community settings and health facilities. Recent estimates indicate that providing basic preventive and curative interventions for mothers and newborns in primary-health-care settings at pragmatic levels of coverage has the potential to reduce maternal and newborn deaths by 20–40 per cent. While these measures show promise, particularly when several complementary interventions are packaged together and delivered through a range of health-care providers, important bottlenecks to improved service delivery remain in many developing countries, including poorly functioning healthsystem facilities and limited numbers of skilled health-care providers. These bottlenecks can and must be addressed through strategies targeted to reach those families, communities and districts most at risk of missing out on basic health care and maternity services. Despite these difficulties, and the still important gaps in our knowledge of how best to tackle difficult newborn problems such as birth asphyxia, the fragility of preterm infants and serious bacterial infections in community settings, one point is clear: We know enough about what works to make a difference. The critical need is to implement what we know and create the policy framework for appropriate maternal and newborn care where it matters: among the rural and urban poor.

See References, page 109.

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© UNICEF/HQ07-1494/Anita Khemka

Community partnerships in health care can help expand coverage of essential services and improve practices in health and nutrition. A community health volunteer who is also a trained birth assistant visits a pregnant woman in a village, Nepal.

any childhood illness is most often made not by a doctor or nurse, but by a mother, who assesses the symptoms, decides on their severity and either settles on a form of care and treatment within the home or decides that a trained health worker must be consulted. Irrespective of whether a health worker is sought, it also falls to family members to nurse sick children and to administer any necessary medicines or other remedies. A similar process often applies to women who are pregnant or have recently given birth, although to a lesser extent. The woman herself will have her own view of the severity of 58

any problem that arises before, during and after birth, but families inevitably play a key role, especially in deciding whether it is necessary to seek external, and often expensive, medical assistance. In addition, sociocultural factors may mean that women need to receive the permission of their husbands or other family members to seek care during pregnancy, childbirth or the post-partum period. The competence of family members to make judgements on medical matters varies enormously, of course, but no health system can afford to ignore the vital part played by families or household members in

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identifying and coping with childhood or maternal illness. In addition, although in the developing world as a whole a small majority (54 per cent) of births take place in clinics or hospitals, in both subSaharan Africa and South Asia – the regions with the greatest burden of maternal and neonatal mortality – more than 60 per cent of women give birth at home.23 Even those women who give birth in a health facility are often discharged from hospitals within 24 hours of delivery, and the main burden of postpartum and neonatal care and supervision falls on family members of the mother and newborn.

Community partnerships in health can promote early and exclusive breastfeeding, which provides vital protection for newborns against ill health and disease.

At a more basic level, nutrition and hygiene practices in the household are prime determinants of the health risks faced by mothers and newborns. Inadequate maternal nutrition, unhygienic practices at delivery, and in caring for the umbilical stump or cord, inattention to basic hygiene practices such as hand washing with soap or ashes after using latrines and before preparing and eating meals, and indoor air pollution can accentuate the spread of infections and diseases such as tetanus, diarrhoea and acute respiratory infections. Raising awareness of improved individual household practices and behaviours, such as exclusively breastfeeding newborns and infants up to six months, has

considerable potential to improve the health and well-being of families.

Community partnerships in primary health care

Simple messages regarding basic hygienic practices in food preparation – such as keeping food in covered containers to exclude insects and drying cloths used to clean dishes or pans in the sun – can have beneficial results. Improving household knowledge of elementary health, nutrition and environmental health interventions, along with increased empowerment of women to make decisions about their own or their children’s health, could have a strong positive impact on health outcomes both for children and new or expectant mothers.

Communities have a vital role in health care and nutrition of mothers, newborns and children. The notion of the community as a cornerstone of primary health care was asserted in the Alma-Ata Declaration of 1978, and it is clear that the goal of health care for all cannot be achieved without community participation, especially in poorer and more remote areas. It is beneficial that communities take an active part in improving health care, hygiene practices, nutrition and water and sanitation services. This is, however, not merely a necessary tool in the absence of more expensive alterna-

Figure 3.6

Early and exclusive breastfeeding West/Central Africa

23

Eastern/Southern Africa

39 44

South Asia Middle East/North Africa

26 43

East Asia/Pacific* Latin America/Caribbean

N/A

CEE/CIS

20

World

38 31

Sub-Saharan Africa** Developing countries*

38

Least developed countries

37 0

10

20

30

40

50

Percentage of infants less than six months old that are exclusively breastfed, 2000–2007 * Excludes China. ** Sub-Saharan Africa comprises the regions of Eastern/Southern Africa and West/Central Africa. Source: Demographic and Health Surveys, other national household surveys and UNICEF.

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Focus On

Midwifery in Afghanistan

Decades of conflict and instability have disrupted Afghanistan’s basic health infrastructure. Women in particular have suffered from a lack of access to health services. As a consequence, maternal mortality among Afghan women is extremely high, standing at 1,800 deaths per 100,000 live births in 2005, according to the latest inter-agency estimates. Women in Afghanistan face a lifetime risk of death from causes related to pregnancy or childbirth of 1 in 8, the second highest rate in the world. More women die in Afghanistan from these causes than from any other, with haemorrhage and obstructed labour the most common. The proportion of maternal deaths ranges from 16 per cent of all deaths of women of childbearing age in Kabul (the largest urban center in Afghanistan) to 64 per cent in the Ragh district of Badakhshan. The high rates of maternal death reflect several factors, including limited access to quality maternal health care, particularly in rural parts of Afghanistan; a lack of knowledge of maternal health and safe delivery; and the scarcity of qualified female health providers, since there is a strong cultural preference for women to be cared for by other women. It is estimated that 9 out of 10 rural women deliver their babies at home, without skilled birth attendants or access to emergency obstetric care. Sociocultural factors that inhibit women’s mobility without the permission or escort of male relatives can also limit their access to essential services. Other factors contributing to maternal mortality are the low social status of women and girls, poverty, poor nutrition and lack of security. Improving the survival rates of mothers in Afghanistan is an issue of immense importance. Midwives can provide crucial care. The World Health Organization recommends one midwife or other skilled birth attendant for every 175 women during pregnancy, childbirth and the post-natal period. Using this estimate with the estimated number of births, Afghanistan should have 4,546 midwives to cover 90 per cent of pregnancies. The country actually had only 467 trained midwives in 2002. Fewer than half of health facilities had any female staff. In rural Nooristan, the ratio of male to female health personnel was as high as 43 to 1.

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Although much remains to be done to improve maternal and newborn health in Afghanistan, many successful efforts to date have focused on expanding and strengthening midwifery. Afghanistan’s Government is collaborating with local and international partners, including UNICEF, to develop a comprehensive approach that includes strengthening and expanding midwifery education, creating policies to ensure the pivotal role of midwives in providing essential obstetric and newborn care, supporting the establishment of a professional association for midwives, and developing initiatives to increase access to skilled care during childbirth. The Community Midwifery Education (CME) programme, an 18-month, skills-based training programme that has less stringent entry requirements than previous midwifery programmes, is considered an appropriate approach to scaling up training and deployment of skilled birth attendants. In 2008, there were 19 CME programmes, each with 20–25 trainees. This represents a marked increase in training capacity over 2002, when there were only six nurse midwifery training programmes run by the Institute of Health Science at regional centres, and one community midwifery programme in Nangahar province. The number of midwives available in the country has increased rapidly, from 467 in 2002 to 2,167 in 2008. The CME encourages applications from women in districts with shortages, with the understanding that they will work in those districts once they are trained. This policy has resulted in a sharp increase in facilities having skilled female health personnel (doctors, nurses or midwives), from 39 per cent in 2004 to 76 per cent in 2006. It is also having a tangible impact on maternal care; the number of deliveries attended by skilled workers has risen from roughly 6 per cent in 2003 to 19.9 per cent in 2006. The success of the skills-based training approach has resulted in the existing midwifery programmes adopting the CME curriculum and certification process.

See References, page 109.

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Outreach and outpatient services can act as a bridge between the household and health facilities, providing reproductive, antenatal,

© UNICEF Peru/2005

intrapartum and post-natal services.

Addressing cultural, social and geographic barriers to health care helps increase access to health services in rural communities. A mother and her newborn are attended by a health worker in a health centre, Peru.

tives but rather a desirable route for empowerment and participation.24 Community partnerships are especially valuable in improving maternal, newborn and child health. There are almost as many different kinds of community partnerships as there are communities. Some are small and local, while others form part of a national network. Some are entirely

voluntary, while others involve payment of some sort. Some operate independently of the national health-care system, while others are fully integrated within it. Programmes seeking to use community partnerships as an approach have to be careful to adapt to the particular local context. At their best, community partnerships in health and nutrition not only

improve people’s access to services and facilitate closer contact between health workers and individuals or households, but also encourage behavioural change and social mobilization. At their most challenged, community partnerships are shortstaffed, poorly coordinated, underfunded and ill-supplied. Examples of successful community partnerships in health across the developing world

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demonstrate that the balance sheet as a whole is positive.25 The role of community health workers in maternal and newborn health Community partnerships in health often involve training people as community health workers. These workers undertake basic health care and nutrition activities – whether through home visits or at an established location. Community health workers also lead campaigns for

better caring or hygiene practices. Exclusive breastfeeding, hand washing with soap or ashes and the use of insecticide-treated mosquito nets for malaria prevention are three of the most common interventions advocated by community health workers. In addition, many community partnerships in health include workers who advise on prevention of motherto-child transmission of HIV and contribute to the management of childhood illnesses such as malaria, pneumonia and neonatal sepsis.

Nepal provides one such example. Trained community health workers collaborate with skilled health personnel to provide care to mothers, newborns and children. A randomized study in rural Nepal shows that these partnerships have reduced neonatal mortality by 30 per cent. These findings are complemented by a study in rural India, which shows a 62 per cent reduction in neonatal mortality when community health workers provided home-based care for the newborn, including resuscita-

Kangaroo mother care in Ghana Kangaroo mother care for low-birthweight babies was introduced in Colombia in 1979 by Drs. Hector Martinez and Edgar Rey as a response to, inter alia, high infection and mortality rates due to overcrowding in hospitals. It has since been adopted across the developing world and has become an essential element in the continuum of neonatal care across the world. The four components of kangaroo mother care are all essential for ensuring the best care options, especially for low birthweight babies. They include skin-to-skin positioning of a baby on the mother’s chest; adequate nutrition through breastfeeding; ambulatory care as a result of earlier discharge from hospital; and support for the mother and her family in caring for the baby. The most important method of spreading kangaroo mother care has been by means of training programmes. Often, the training remains confined to hospital settings. A new approach was adopted in Ghana under a kangaroo mother care (KMC Ghana) project undertaken in four regions, with the support of UNICEF and the South African Medical Research Council’s Unit for Maternal and Infant Health Care Strategies. Instead of merely providing training, a longitudinal, ‘open door’ approach based on continuous support from health-care facilities was adopted. Under the programme, kangaroo mother care is singled out for special attention for two to three years. This requires

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participants to focus on one aspect of newborn care, implement it well and in the process integrate it into the normal spectrum of newborn care practices. The implementation model identifies specific roles for districts and regions, depending on the way authority is devolved in a country. In Ghana, the region is the nodal point for implementation, with districts being responsible for the actual implementation actions. Although half of all births still occur at home, one of the cornerstones of the KMC Ghana project is the establishment of centres of excellence at regional hospitals and 24-hour, continuous kangaroo mother care in each district hospital. Implementation is overseen by a KMC Steering Committee in each region, consisting of one member from each of the districts. These representatives, in turn, establish steering committees at the district level. Although the focus is on introducing KMC in district hospitals, other health care facilities and community organizations are also sought as partners. While a comprehensive evaluation of the KMC Ghana programme has yet to take place, preliminary evidence suggests that it is effective in improving the survival of low birthweight babies and strengthening the bond between mothers and newborns.

See References, page 109.

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HIV/malaria co-infection in pregnancy Co-infection with HIV and malaria presents specific complications for pregnant women and fetal development. HIV lessens pregnancy-specific malaria immunity normally acquired during the first and second pregnancies. Placental malaria is associated with increased risk of maternal anaemia and HIV infection, especially among younger women and those experiencing their first pregnancy. The role of coinfection in mother-to child transmission of HIV is unclear, with some studies reporting an increase and others reporting no change. The potential risks of adverse drug interactions have critical implications for effective management of co-infection, and call for increased research. Although malaria affects Asia, Latin America and the Caribbean, and sub-Saharan Africa, the largest burden of co-infection lies in Africa, the continent with the greatest burden of malaria, and where more than three quarters of all HIV-infected women live. Variations exist across the African continent. Most affected by HIV/malaria co-infection are the Central African Republic, Malawi, Mozambique, Zambia and Zimbabwe, where some 90 per cent of adults are exposed to malaria and average adult HIV-prevalence surpasses 10 per cent. In parts of southernmost Africa, where the HIV epidemic is most severe, there is a lower incidence of malaria, although outbreaks do occur in particular areas, such as Kwazulu-Natal, South Africa. Data for other regions are not as clear, but the overlap of infections may be present in the general populations of Belize, El Salvador, Guatemala, Guyana and Honduras – and, to a lesser extent, Brazil. Research indicates that certain populations, such as migrant goldmine workers in Brazil and Guyana, may have greater risk of co-infection. The HIV epidemic is generalized in Asian countries such as Myanmar and Thailand, but malaria transmission is unstable and heterogeneous across this region, as in Latin America and the Caribbean. The most common species of malaria in each region also differs – P. falciparum in Africa, P. vivax in Asia and Latin America and the Caribbean – and the effects of the disease may vary by the degree of immunity a women has achieved by the time she becomes pregnant. Women in Asia are less exposed to intense malaria transmission and therefore have less opportunity to develop acquired immunity. This is also true of areas of unstable malaria transmission in parts of southern Africa. Most studies of malaria in pregnancy are from Africa, and more are needed from other regions and non-falciparum species. Malaria sufferers with severe anaemia who require blood transfusions, particularly children, also are at higher risk of acquiring HIV. Every year, between 5,300 and 8,500 children in areas of endemic malaria in Africa become infected with HIV from blood transfusions administered for severe malaria.

meaning that HIV-positive women in their second, third and fourth pregnancies have the same low immunity to malaria as women in their first pregnancy. Pregnant women infected with HIV become twice as susceptible to clinical malaria, regardless of gravidity. In these women, malaria can restrict fetal growth, cause preterm delivery and low birthweight in newborns and reduce the transfer to children of maternal immunities and cellular responses to infectious diseases such as streptococcus pneumonia, tetanus and measles. Recent evidence suggests that HIV-positive mothers with malaria are more likely to have low-birthweight infants; in turn, low-birthweight infants were shown to have significantly higher risks of mother-to-child transmission of HIV compared with infants of normal birthweight. The effects of malaria on HIV are less clear, though episodes of acute malaria can increase viral load and hasten disease progression. Malaria infection during pregnancy may increase the risk of mother-to-child transmission of HIV in utero and during birth, and higher viral load can result in greater risk of transmission during breastfeeding. Some research shows that viral loads can return to pre-episode levels following malaria treatment, which suggests that management of malaria may be critical to slowing the spread of HIV and its progression to AIDS. One of the most pressing questions about co-infection concerns drug therapies. The World Health Organization recommends that all pregnant women in areas of high HIV prevalence (>10 per cent) receive at least three doses of sulfadoxine-pyrimethamine as intermittent preventive treatment (IPT), even in asymptomatic cases, unless they are receiving cotrimoxazole for the treatment of opportunistic infections of HIV. Many African governments use artemisinin-based combination therapy for malaria case management in pregnancy; with research still limited, WHO continues to recommend this treatment be used for uncomplicated malaria in pregnancy during the first trimester, if it is the only effective treatment available. In cases of severe anaemia, treatment with either artemisinin-based therapy or quinine, should be administered, although the former is preferred in the second or third trimester. There is little published information on the risks of co-administration of antiretrovirals and antimalarials, including artemisinin derivatives, but artemisinins have not yet been observed to have important toxicities when co-administered with antiretrovirals or when given in early pregnancy.

See References, page 109.

Regional differences notwithstanding, co-infection affects all pregnant women in similar ways. HIV in pregnancy combined with malaria increases the risk of severe anaemia and reduces any acquired immunity that women living in areas of stable malaria transmission may have developed – effectively

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The challenges faced by adolescent girls in Liberia by the Honourable Vabah Gayflor, Minister of Gender and Development, Liberia Ensuring that adolescent girls have a supportive environment for their growth and development and are protected from abuse, exploitation, violence and premature entry into adult roles such as marriage and labour is particularly challenging in my country, Liberia. An adolescent girl living in Liberia: – has probably not been to primary school; the net primary school enrolment for girls stands at only 39 per cent, according to the latest national estimates.

– may be left with a delivery-related injury if she survives her pregnancy, such as fistula or uterine prolapse. – faces a high lifetime risk of death from her first and subsequent pregnancies; the lifetime risk of maternal deaths stands at 1 in 12. – may see her child die within the first year of life, with almost 1 in every 10 infants dying before their first birthday.

– is unlikely to go on to secondary school; just 14 per cent of girls of secondary school age are enrolled in secondary education.

– will probably not have support from a partner, even if she is married.

– is at high risk of being illiterate, like 24 per cent of adolescent girls and young women aged 15–24 in the country.

– has little or no recourse to protection from further abuse, exploitation and disempowerment.

– has a high risk of suffering rape – the most frequently reported crime, with girls aged 10–14 the most frequent victims of rape.

Creating a supportive environment for adolescent girls in Liberia begins with protecting them from violence and abuse, and ensuring that they obtain a quality education.

– probably has limited knowledge of HIV and AIDS; only 21 per cent of young women aged 15–24 have comprehensive knowledge of HIV and AIDS.

It will also necessitate ensuring that families do not allow their girls to marry before age 18 or allow them to be engaged in exploitative labour.

– has a high probability of either being married or in union; 40 per cent of women aged 20–24 in Liberia were married before the age of 18.

It requires that knowledge of HIV and AIDS be promoted among young people, and that victims of sexual violence have recourse to justice.

– faces the strong likelihood of being pregnant; the adolescent birth rate for girls aged 15–19 stands at 221 per 1,000 – the second highest rate in the world.

It necessitates investment in reproductive, maternity and basic health care for millions of adolescent girls.

– is unlikely to give birth in a hospital or health facility, as only 37 per cent of births take place in institutional settings. – will possibly have to give birth without the assistance of a skilled health worker, which only attend 51 per cent of births. – runs a high risk of death from pregnancy and childbirth; the maternal mortality rate stands at 1,200 per 100,000 live births. – has an even higher risk of death from maternal causes if under 15; girls aged 10–14 are five times more likely to die

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from causes related to pregnancy and childbirth than those of ages 20–24.

Most of all, it demands that communities and society respect the rights of women and girls, and have the courage to address customs and practices that harm and discriminate against them. Under the leadership of President Ellen Johnson-Sirleaf, the Government of Liberia is striving to provide the protection adolescent girls need and to help them acquire the skills that will enable them to protect themselves. We welcome the support of the international development community in assisting us to act quickly and effectively.

See References, page 109.

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Facility-based care is essential for referrals and providing a range of routine and emergency services for mothers and newborns.

tion for birth asphyxia and treatment of sepsis with antibiotics.26 Community partnerships in health care can help expand coverage of essential services and improved practices in health and nutrition. Perhaps even more importantly, such partnerships can also enable health systems to reach out to their communities, however poor or marginalized they may be. Outreach and outpatient services Outreach and outpatient services, such as antenatal care and immunization, are delivered on a routine basis through one of two modes: stationary clinics visited by pregnant women and their children, or mobile services whereby health workers undertake essential interventions to mothers and children in their communities. In almost all cases, recipients are not assessed as clinical cases but receive a standardized service. Many of these interventions do not need to be delivered by skilled medical staff to prove beneficial, but can be dispensed by semi-skilled health workers and by community health workers with some training. This, in turn, makes it easier and more cost-effective to increase coverage of outreach-based services to large sectors of the population.27 Outreach and outpatient services can act as a bridge between home and community care and facilitybased care. They are vital mechanisms for delivering antenatal and post-natal care, as well as promoting

sexual and reproductive health. For example, antenatal care can of course be offered at clinics or hospitals, but it is entirely appropriate as an outreach service. Antenatal outreach services should screen for and treat disorders such as anaemia, hypertension, diabetes, syphilis, tuberculosis and malaria, as well as check the baby’s position. They should also provide tetanus immunization, distribute insecticidetreated mosquito nets and offer intermittent preventive treatment of malaria in malaria-endemic areas, in addition to counselling on such matters as diet, hygiene, the danger signals in pregnancy and breastfeeding. It is also important, however, not to overburden outpatient or outreach services to the point at which they become overstretched.28

detect sexually transmitted infections and treat them promptly. Many outpatient or outreach services in reproductive health currently offer only poor-quality interventions, however, which deter people from using them.30 Facility-based care

Outreach services can also be adapted to provide post-natal care, as mentioned earlier in this chapter. Key services include recognizing and checking for danger signs for mothers and newborns, guidance on feeding – particularly early and exclusive breastfeeding – and caring for the newborn, referral for treatment of mother or baby if appropriate, and support and counselling on healthy practices.29

Health facilities generally provide the broadest range of preventive and curative treatments for maternal and child health, and potentially the most skilled pool of health-care workers. These facilities generally fall into two main categories: clinics and hospitals. The facility closest to the community is likely to be a clinic providing immediate, generalized care, possibly overseen by a nurse. Clinic staff can often cope with uncomplicated births and offer support and advice on the care of the newborn. They should also be able to deal with some of the key complications – able, for example, to remove the placenta manually, or to offer resuscitation to a newborn. Given the potential risks associated with labour and childbirth, however, staff in clinics, as well as those engaged in outreach attendance at birth, need the skilled knowledge to recognize swiftly when a complication in the delivery, or the degree of sickness in the newborn, is beyond their competence and to refer it to a higher level.

Reproductive health is another area appropriate to outreach and outpatient services. Outreach services can raise awareness of options for reproductive health services and practices, including birth spacing. They can also

That next level is likely to be a district hospital where doctors can offer medical diagnosis, treatment, care, counselling and rehabilitation services. In some health systems there may be a referral hospital

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providing complex clinical care, but in many communities across the developing world, the facility-based health needs of mothers and infants are met by clinics or the district hospital, if at all.31 Access to emergency obstetric care can pose a major challenge for pregnant women living in rural areas, owing to the distance to be covered to reach a suitable facility and the lack of transport or adequate roads by which it can be reached. Even if transportation vehicles and infrastructure are available, travel and accommodation costs, together with indirect costs such as the income foregone by accompanying family members, may prove prohibitive. Families living in geographically isolated communities therefore face elevated risk of maternal and neonatal mortality when birth complications arise. A recent study of maternal deaths in Afghanistan, for example, showed that physical remoteness added to the epidemiological risks that women faced.32

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Geographical distance is not the only impediment to accessing health-care facilities, however; there are cases where women living in the vicinity of a health facility will only visit for antenatal care but not the delivery itself. Cultural reservations about a woman’s delivery being attended by strangers, and economic costs of skilled attendance at delivery, are examples of deterrents that impede usage of health-care facilities. Lack of health-care personnel and inadequate medical equipment and drugs can also deter families from seeking an institutional delivery. One particular challenge is to lower the incidence of facilityacquired diseases – a serious risk in sub-Saharan Africa – that can increase the risk of infection from blood transfusions and the reuse of needles.33 Despite these impediments, it is clear that upgrading maternity clinics, health centres and hospitals to provide at least basic emergency obstetric care would be a major step towards reducing maternal and neonatal mortality.

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The continuum of care: Practical steps towards primary health care for mothers and newborns Health-care services function best when they link care in the home through the community to outreach services and beyond to clinics and hospitals. This is by no means a new insight: The evidence and knowledge have been available for decades. Their application has the potential to reduce markedly the toll of preventable maternal and neonatal deaths. The challenge now is to put in place the levels of investment in health services that will guarantee a continuum of care. Chapter 4 outlines a framework for devising strategies and apportioning resources to deliver the improvements in maternal and neonatal health that the developing world urgently requires.

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© UNICEF/HQ05-1797/Giacomo Pirozzi

4

Strengthening health systems to improve maternal and newborn health

Establishing effective continua of care will involve taking practical steps to strengthen health systems. The key elements for health systems development – deepening the evidence base, expanding and enhancing the health workforce, upgrading and broadening infrastructure and logistics, providing equitable financing solutions and stimulating demand for care through social mobilization, ensuring the quality of care and fostering political commitment and leadership through collaboration – are increasingly accepted by national governments and local and international agencies. Chapter 4 of The State of the World’s Children 2009 examines each of the first six steps, illustrating their practical application through country examples. The seventh step – political leadership and commitment – is addressed in the final chapter of the report.

M

eeting Millennium Development Goal 5 will be challenging. As a whole, the world is far behind on improving maternal health, with little progress achieved in sub-Saharan Africa in particular since 1990. Even within those developing countries and regions that have seen more progress, pockets of poverty and marginalization continue to exclude many from essential maternity and basic healthcare services. (See Chapter 1 for a full description of trends in maternal mortality.) Faster progress and major improvements in maternal and newborn survival and health are possible through packaging and scaling up proven, affordable interventions, delivered through a continuum of care and underpinned by a supportive environment for the rights of women and children. Policy recommendations on the frameworks required to accelerate

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progress are being continually enriched through data collection, research and analysis, monitoring and evaluation, and collaborative actions. Chapter 4 contributes to these efforts by summarizing a series of practical steps towards strengthening health systems to support the continuum of care outlined in Chapter 3. These involve the following actions: • Enhancing data collection and analysis of trends, levels, risks, causes of and interventions for maternal and newborn mortality and morbidity. • Expanding the primary health-care workforce in developing countries and enriching skills levels. • Mobilizing societies to demand better maternal and newborn health care and a supportive environment for the rights of women and children. • Establishing practical, equitable and sustainable financing mechanisms for basic health care and maternity services. • Investing in infrastructure, logistics, information and

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communications technology, facilities and management capacity to ensure quality care and effective referral. • Improving the quality of care across the health system. • Fostering political commitment and leadership through stronger collaboration between partners. This chapter examines the first six of these steps, illustrating their practical application through country examples. The seventh step will be addressed in Chapter 5.

Step 1: Enhancing data collection and analysis Since no single indicator can adequately describe the varied dimensions of either maternal or newborn health, a wide array of indicators is useful to guide and monitor programmes. Vital information for policies and programmes includes demographics, nutritional status, socioeconomic status, health-care provision, careseeking practices and the application of improved health and nutrition practices.

Good data on maternal and newborn health and survival form the foundation for sound policies, effective programmes and collaborative partnerships.

These measures strengthen understanding of the burden, trends, risks and causes of maternal and newborn mortality and morbidity. But much more needs to be done. Gaps in knowledge of many aspects of maternal and newborn health – from the estimation of mortality figures to risks to pregnancy posed by HIV and AIDS, to name but two elements – remain significant. Health information systems remain incomplete in many developing countries, complicating efforts to determine the status of maternal and newborn health and apply the most appropriate strategies and interventions.1

• Maternal and newborn mortality rates. • Factors or determinants contributing to morbidity and mortality. • Community perceptions of these health problems and appropriate actions, including types of services and attitudes towards care seeking.

© UNICEF/HQ04-1257/Giacomo Pirozzi

Strengthening the knowledge base that forms the foundation for policies, programmes and partnerships is therefore an essential component for developing health systems. Work has begun on the process of enriching data collection. The World Health Organization has developed guidelines to assist governments and other agencies in expanding data collection and improving data quality on maternal health. WHO recommends that health information systems should strive to capture data in five key areas relevant to maternal and child health:

Providing essential care such as immunization and micronutrient supplementation to pregnant women protects them against disease and undernutrition. A health worker provides consultations that include weight and blood-pressure measurements, tetanus vaccination and iron supplementation, Papua New Guinea.

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A wide array of methods is being employed to enhance data collection on maternal and newborn survival, including censuses, household surveys, and facility-based data gathering.

Figure 4.1

Emergency obstetric care: United Nations process indicators and recommended levels UN process indicator

Definition

Recommended level

1. Amount of EmOC services available

Number of facilities that provide EmOC

Minimum: 1 comprehensive EmOC facility and 4 basic facilities for every 500,000 people

2. Geographical distribution of EmOC facilities

Facilities providing EmOC well-distributed at subnational level

Minimum: 100% of subnational areas have the minimum acceptable numbers of basic and comprehensive EmOC facilities

3. Proportion of all births in EmOC facilities

Proportion of all births in the population that take place in EmOC facilities

Minimum: 15%

4. Met need for EmOC services

Proportion of women with obstetric complications treated in EmOC facilities

Minimum: 100% (estimated as 15% of expected births)

5. Caesarean sections as a percentage of all births

Caesarean deliveries as a proportion of all births in the population

Minimum: 5% Maximum: 15%

6. Case fatality rate

Proportion of women with obstetric complications admitted to a facility who die

Maximum: 1%

Source: United Nations.

• Availability of and access to quality health-care services. • Quality of care.2 A number of tools exist to facilitate the collection of this information, including censuses, verbal autopsy, death registration, surveys or studies, data obtained from health facilities and health surveillance. Since each method has strengths and weaknesses, more than one mechanism should be employed to assess maternal and newborn health. Censuses, questionnaires and household surveys National censuses are a key source of data and information on maternal health. Often they provide 70

the only household-level survey large enough to allow for the measurement of geographic and socioeconomic variations in maternal mortality. A census may include follow-up questions aimed at assessing the timing of deaths of women of child-bearing age in each household within the past 12 months. It should be noted, however, that some countries are not using their censuses to collect this information, missing out on an opportunity to collect valuable information on maternal health. Verbal autopsy is another method of gathering information on mortality and morbidity. The World Health Organization has developed three

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verbal-autopsy questionnaires – one to ascertain deaths within the first four weeks of life, another for children aged four weeks to 14 years, and a third for persons aged 15 and over – with the goal of helping standardize measurement criteria and methods. This level of scrutiny takes into account the critical issue of timing that has in the past not been adequately emphasized.3 Obtaining information on cause of death can be challenging. According to the World Health Organization, only 31 of its 193 member states report high-quality cause-of-death statistics. Several countries are now using surveillance tools such as Demographic Surveillance Systems in

Household surveys such as DHS and MICS are providing vital data on a wide range of outcome and coverage indicators.

smaller geographic areas to ascertain cause of death. Methods used include follow-up investigations of deaths using verbal autopsy to ask family members, health-care providers and community members to explain circumstances of death. These systems are called sample vital registration with verbal autopsy systems. A noblame policy, in which the respondents are not held liable for answers to survey questions, is pivotal to enlisting and retaining community support for these endeavours.4 A number of factors influence maternal and newborn health outcomes, including biological factors such as nutritional status; socioeconomic determinants such as income and education; health-seeking behaviours and healthy practices; barriers to accessing health services; and behavioural risk factors such as domestic violence and smoking. Household surveys and studies are the primary methods used to assess the frequency of these types of determinants, which can then be analyzed to better understand the population for which health programmes are intended. Important periodic cross-sectional household surveys include the Demographic and Health Surveys (United States Agency for International Development), Multiple Indicator Cluster Surveys (UNICEF) and Reproductive Health Surveys (Centers for Disease Control). These international surveys provide comprehensive quantitative data on a wide range of health

topics. Since 1995, nearly 200 MICS have been conducted in 100 countries. Facility- and community-based data collection Data derived from health facilities across the wide range of public and private health-care providers are also useful in assessing the state of maternal and newborn health. The number of deaths in facilities can be readily monitored and provide opportunities to learn about improvements needed to avert further deaths, particularly those in institutional settings, in a process known as ‘maternal death review or audit’. This type of data can also provide insights into the ‘near-

misses’ – life-threatening complications that heightened the risk of mortality but which ultimately did not result in death – that are important for improving service quality.5 Governments, research institutions and other agencies also conduct health surveillance, defined by the Centers for Disease Control as ‘‘the ongoing, systematic collection, analysis, interpretation, and dissemination of data regarding a health-related event that is for use in public health action to reduce morbidity and mortality and improve health.”6 This method of data gathering can be combined with others to assess the

Figure 4.2

Distribution of key data sources used to derive the 2005 maternal mortality estimates Total number of countries: 171

No national data 35%

Special studies 4% Census 3% Disease surveillance/sample registration 1% Reproductive age mortality studies 2%

Civil registration, complete, good attribution of cause of death 35%

Civil registration, complete, uncertain/poor attribution of cause of death 4% Direct sisterhood estimates 16%

Source: World Health Organization, United Nations Children's Fund, United Nations Population Fund and the World Bank, Maternal Mortality in 2005: Estimates developed by WHO, UNICEF, UNFPA and the World Bank, WHO, Geneva, 2007, p. 9.

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© UNICEF/HQ06-0550/Shehzad Noorani

Increasing the number of births attended by skilled health workers can reduce maternal deaths arising from complications during childbirth. Two teachers demonstrate proper procedures for holding a baby after delivery during a training session for women at a midwives training centre, Sudan.

health of a population over time and by geographical area.

Averting Maternal Death and Disability Project.7

Other aspects of maternal health care are also being measured, with strong support from international agencies. Facility-based data are being collected by UNICEF and its partners to provide indicators for emergency obstetric care. Needs assessment for emergency obstetric care has also been undertaken by UNICEF, the United Nations Population Fund and Columbia University in the

The Health Metrics Network, an international partnership dedicated to helping countries strengthen their health management information systems, has developed a tool to assess the completeness and quality of such systems (see Panel on Enhancing health information systems: The Health Metrics Network, page 104). The World Health Organization has led the development of a guide entitled

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Beyond the Numbers, which describes methods that can be used to relate the story of a woman’s death as part of efforts to reduce maternal mortality. These methods included communitybased verbal autopsies, facility-based maternal death or near-miss reviews, clinical audits, and larger regional or national confidential enquiries.8 In Mozambique, a review of maternal deaths in health facilities has provided valuable insights into the preventable factors behind these deaths and guided policy and system responses.9

Using critical link methodology in health-care systems to prevent maternal deaths by Rosa Maria Nuñez-Urquiza, National Institute of Public Health, Mexico

Critical link methodology (CLM) examines each maternal death as a sentinel event. It reviews all the health-care interactions between a woman and health personnel prior to her death, providing a timeline of health-seeking actions and corresponding care provision across the health system. CLM assesses health care through three dimensions: • clinical performance (delays, omissions and compliance with quality standards compared to established guidelines). • internal hospital organization. • continuity of care between health-care facilities. Through this process of review, CLM focuses on those crucial interventions that, if provided in an expeditious manner, can avert future maternal deaths. It enables safe motherhood committees to shift their focus from a medical cause of death to a managerial perspective of missed opportunities. This change in perspective is highlighted through the following lines of enquiry: • During which interactions between the woman and the health system could the condition leading to her death have been better addressed? • Based on this analysis, what specific steps must be done differently in the future to prevent the deaths of women in similar circumstances? • To sustain these specific changes, what processes in each care unit require modification to ensure quality of care, and what factors of the health system should be redesigned to ensure the continuity of care during obstetric emergencies?

One such example is provided by a CLM study of women with post-partum haemorrhage who died as they were transferred from community hospitals to referral hospitals. The assessment identified the lack of stabilization of women prior to transportation as a fatal omission. In the seven states where the percentage of maternal deaths due to post-partum haemorrhage was above the national average, up to 60 per cent of maternal deaths occurred while transporting patients to larger hospitals. When ambulances and trained personnel were provided in one of those health districts, the maternal mortality rate from post-partum haemorrhage fell by 30 per cent the following year. CLM is helping to redesign the way facilities are networked in each district health system. In addition, applying CLM necessitates involving a broader group of stakeholders than those traditionally engaged in safe motherhood committees, i.e., heads of clinical laboratories and blood banks, as well as health district administrators. One outcome of CLM is that the reproductive health divisions at both the Ministry of Health and the Instituto Mexicano de Seguridad Social (IMSS, the Mexican social security system) now report the Causes of maternal deaths not only as medical causes, like “pre-eclampsia, sepsis, etc.,” but also by detected failures in the process of care. For example, the report of maternal mortality of a given district or state health system will now state, “15 per cent of maternal deaths due to lack of IV solutions in health centres leading to failure to stabilize the women before transfer” or “10 per cent of maternal deaths due to delays in bringing in the surgeon on call to district hospitals during weekends.” Seeing beyond the medical causes helps to diagnose health-system failures which, if immediately addressed, will avert maternal deaths.

See References, page 111. Furthermore, the comparison of near-miss cases (complications that lead to severe morbidity but which ultimately do not prove fatal) with cases of maternal mortality highlights the imperative of timely provision of care. This has resulted in a new category of analysis: therapeutic time interval, which calls for clinical research to establish the time interval during which interventions are effective. The therapeutic time interval helps demonstrate that even when appropriate treatment is provided, it may fail to save women’s lives unless applied in a timely manner.

From single-case red alerts to further research Open and regular communication between CLM field supervisors and federal authorities ensured that alerts detected by individual case studies spurred further analysis of routine data systems (hospital registries of 1,029,000 obstetric patients yearly from 617 public hospitals) to explore the magnitude and distribution of these gaps in maternal care across the health system.

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New technologies are also showing potential to assist in data collection on maternal and newborn health.

entry, often cited as a problem in paper-based surveys. It also trained and employed local schoolchildren with the requisite linguistic competence and familiarity with mobile phones.11

In one study conducted by the Initiative for Maternal Mortality Programmed Assessment (IMMPACT) in eastern Burkina Faso, 127 interviewers using personal digital assistants captured data from 86,376 households in just over three months. Each unit cost approximately US$ 350, amounting to US$ 60,000 for the equipment; although no cost-effectiveness analysis was completed, a paper approach would have required over 1 million printed pages, 100 global positioning satellite receivers and 20 desktop computers and cost more. The PDA experiment had the advantage of immediacy of data

Methods have also been devised to assess the quality of care delivered by health providers. Two such frameworks include the Performance Quality Improvement method developed by the United States Agency for International Development, and the client-oriented, provider-efficient services (COPE) method developed by EngenderHealth.10 In addition to new measurement tools, new technologies are also being applied to assist in intelligence gathering. For example, surveys using digital technologies show hope for improving data collection in the remotest areas.

It is apparent that there are numerous means of data collection that can provide useful information to guide programmes and policies. Dissemination and analysis of this data is essential, at local, national and international levels, to inform resources allocation and policy responses, and achieve the greatest impact in reducing maternal deaths.

Figure 4.3

Skilled health workers are in short supply in Africa and South-East Asia in particular WHO regions Europe

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32

The Americas

49

19

Western Pacific Eastern Mediterranean

10

South-East Asia

physicians

12

5

Africa

Nurses and Midwives

20

14 15

11

2

Country groups by income level Global

28

13

High income

87

28

Upper middle income

41

21

Lower middle income

13

Low income

11

5 0

17

10

20

30

40

50

60

70

80

90

Skilled health personnel (doctors, nurses or midwives, per 10,000 population), 2005

Source: World Health Organization, World Health Statistics 2008, WHO, Geneva, 2008, pp. 82–83.

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New directions in maternal health by Mario Merialdi, World Health Organization, and Jennifer Harris Requejo, Partnership for Maternal, Newborn and Child Health Twenty-one years ago, the global health community came together under the auspices of the Safe Motherhood Initiative to focus on maternal mortality, whose upper and lower bounds represent the starkest disparity in international public health. Yet by 1990, the baseline year for the Millennium Development Goals, more than half a million women, 99 per cent of them in developing countries, were still dying every year due to complications related to pregnancy and childbirth. Maternal mortality estimates for 2005 indicate that around 536,000 women continue to die each year in pregnancy and childbirth, equivalent to roughly one woman dying every minute from largely preventable causes. These deaths, which are heavily concentrated in the most disadvantaged population groups within low-resource countries, are reflective of a persistent, unjust, social inequality that is long overdue for greater attention. These deaths are disproportionately occurring in sub-Saharan Africa, which accounts for half of annual maternal deaths, and South Asia (35 per cent), leaving the world a long way from its target of reducing the maternal mortality ratio by three quarters between 1990 and 2015 (Millennium Development Goal 5, Target A). Despite the disappointing lack of progress in reducing maternal mortality since the launch of the Safe Motherhood Initiative, important advances in maternal health have been achieved on several fronts. An unprecedented amount of resources apportioned to health at the international level, combined with renewed political commitment to primary health care and with new complementary initiatives focusing specifically on maternal, newborn and child health, suggests that momentum is building to address the historically neglected issue of maternal mortality. Other developments in this direction include the adoption of the continuum of care as a core framework for public health programs; the establishment of the Partnership for Maternal, Newborn and Child Health in 2005 to guide and promote the continuum; ratification of the Maputo Plan of Action to implement the continental framework for sexual and reproductive health and rights in Africa; the addition of a new MDG 5 target (5.B) that seeks universal access to reproductive health by 2015; and the inclusion of maternal survival in the Countdown to 2015 assessments. These developments are testament to the revitalized focus in the global health community on maternal and newborn survival and well-being. Improvements in procedures for estimating maternal mortality, new estimates of the incidence of abortion and increased efforts to map the global burden of maternal ill-health are important epidemiological advancements that will enable better decision-making by governments and their partners. The growing recognition of the causal role of undernutrition in maternal mortality has resulted in renewed interest in micronutrient supplementation during pregnancy and a stronger emphasis on the need to address underlying and basic factors, such as poverty and gender discrimination and disempowerment – including limited access to education for many girls and young women and their high exposure to infections. A broad consensus has also emerged about the core health-sector strategies required to reduce maternal mortality. Comprehensive reproductive health care is now considered to include family planning, skilled care for all pregnant women during pregnancy and delivery, and emergency care for all women and infants with life-threatening

complications. Coverage indicators for proven interventions and approaches linked to each of these three pillars – including antenatal care, availability of emergency obstetric care, Caesarean section rates, contraceptive prevalence, skilled attendance at delivery, post-natal care and unmet need for family planning – are now being tracked in the Countdown to 2015 initiative, by national governments, UN agencies, international health partnerships and non-governmental organizations. Improvements in documenting the global distribution of maternal mortality and morbidity, and identifying and tracking effective interventions, have been complemented by important research findings on ways of countering maternal health risks. Several interventions, shown to improve maternal survival in epidemiological studies and appropriate for universal application, are now ready for wide-scale implementation. These include magnesium sulphate and calcium supplementation for the prevention of hypertensive disorders of pregnancy, effective dissemination strategies for guidelines on the prevention and treatment of post-partum haemorrhage, and the recommended provision of at least four antenatal visits to pregnant women and one post-partum visit to new mothers. Increasing awareness of the inextricable link between maternal and newborn health has also resulted in the introduction of effective programmes for the prevention and treatment of malaria and HIV, through measures to expand provision of insecticide-treated mosquito nets and intermittent preventive treatment of malaria in pregnancy, interventions to prevent mother-to-child transmission of HIV, preventive measures to avoid HIV infection – particularly among young people – and antiretroviral treatment for HIV-positive women and children. Key areas of promising research include activities focused on developing strategies for ensuring the delivery of comprehensive packages of maternal and newborn health services along the continuum of care. An essential component of these strategies is the establishment of mechanisms for integrating services traditionally delivered through vertical approaches – such as immunization and micronutrient supplementation – with antenatal and post-natal care as part of health-system strengthening. Recent years have also witnessed an encouraging trend towards the establishment of collaborative partnerships between international organizations, governmental agencies, research institutions, non-governmental organizations and the private sector to promote multi-country research projects on major complications in pregnancy and childbirth – including preterm delivery, stillbirths, impaired fetal growth, hypertensive disorders, post-partum haemorrhage and obstructed labour and obstetric fistula. The growing political and financial support for programmatic and research initiatives aimed at improving maternal and newborn health, and the shift from single issue, sectoral approaches to health care to collaborative forms of delivering primary health care in a continuum of care, raises hopes and expectations that the long-awaited gains in maternal, newborn and child health that are so critical for the well-being and development of populations will become increasingly apparent in the near future.

See References, page 111.

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Strengthening the health system in the Lao People’s Democratic Republic The Lao People’s Democratic Republic is a mountainous, largely rural, country in South-East Asia with an average gross national income per capita of less than US$ 600 in 2007. Nearly 40 per cent of the population in this ethnically diverse nation – which comprises nearly 50 different ethnic groups – lives below the poverty line. Although the country is on track to meet Millennium Development Goal 4, having managed to reduce its under-five mortality rate by 57 per cent between 1990 and 2007, significant health challenges remain for mothers and newborns. Chief among them are undernutrition, improving feeding and hygiene practices, immunization, environmental health and ensuring adequate skilled health personnel to deliver quality health services. More than 1 in 7 newborns suffer from low birthweight, a condition that is often associated with poor maternal nutrition. Exclusive breastfeeding, at 23 per cent according to the latest estimates, is far below the regional average of 43 per cent for East Asia and the Pacific. Only 60 per cent of the population have access to improved drinking-water supplies, and just 48 per cent have access to adequate sanitation facilities. Access to both of these critical services is far lower still in rural areas. In 2007, only 40 per cent of infants under age one were immunized against measles and just 47 per cent of pregnant women were immunized against neonatal tetanus. With maternal mortality standing at 660 deaths per 100,000 live births in 2005, the Lao People’s Democratic Republic has the highest rate of maternal deaths in the region. The lifetime risk of maternal death stood at 1 in 33 in 2005. Notwithstanding these challenges, advances are steadily being made to expand health services to the country’s large rural population. One such programme involves Save the Children Australia, which has worked with the Provincial Health Office and other partners in Sayaboury to expand and enhance primary-health-care infrastructure in four three-year phases. Their goals are: • Phase I: Strengthen the provincial management team responsible for training district teams and village health volunteers and traditional birth attendants, develop fixed and mobile maternal and child health clinics and provide essential equipment. • Phase II: Integrate primary health care at all levels – provincial, district and village. • Phase III: Expand programmes into four remote districts. • Phase IV: Strengthen the skills of health workers through adoption of the Integrated Management of Childhood Illness framework.

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The programme also prioritizes education for women in improved nutrition practices, including breastfeeding and complementary foods, since studies have shown strong linkages between inappropriate feeding practices and child undernutrition in the Lao People’s Democratic Republic. The dissemination of other health information, including clinical care and immunization, is also an important component of the programme. The Sayaboury programme has shown significant success, at a highly affordable cost of around US$4 million over a 12-year period, representing a per capita expenditure of just US$ 1 per year. The district’s maternal mortality ratio fell from 218 per 100,000 live births to 110 per 100,000 live births between 1998 and 2003. The median age at which infants received complementary foods increased from 2.8 months in 1999 to 3.7 months in 2001, while the rate of exclusive breastfeeding for the first four months rose from 28 per cent in 1999 to 66.2 per cent in 2004. Vaccination coverage remained inadequate, however, with only 50 per cent of children under age one receiving three or more doses of diphtheria, pertussis and tetanus vaccine – the benchmark indicator for routine immunization coverage – in 2007. Complementing efforts to improve maternal and newborn health, the Caring Dads communication campaign encourages fathers to support pregnant women and mothers in caring for themselves and their babies. The Ministry of Health, in collaboration with UNICEF and the Lao Trade Union, has collaborated on comprehensive methods to advocate for greater involvement by men in family care. These campaigns are aimed primarily at wage-earning fathers, who have been identified as the group most likely to engage in commercial sex, the source of the growing HIV prevalence within the country. While the Lao People’s Democratic Republic has a lower adult HIV prevalence rate than some of its neighbouring countries, poverty and cross-border migration are contributing to the spread of the virus. Posters and booklets on themes such as the Caring Dad in Pregnancy have been reprinted because of unexpectedly high demand. Such programmes aimed at community initiatives in health, together with expanded immunization and supplementation campaigns supported by UNICEF in 2007 and health infrastructure-building, are steadily beginning to help reduce the still high burden of maternal and newborn deaths in the Lao People’s Democratic Republic.

See References, page 111.

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Addressing the health worker crises is critical to improving maternal

© UNICEF/HQ07-1307/Anita Khemka

and newborn health. The greatest shortages are in Africa and Asia.

Averting maternal death helps safeguard the survival and health of newborns. A mother lies in bed with her newborn daughter in a maternity ward after a successful delivery, Pakistan.

Step 2: Enhancing human resources, training and supervision Many developing countries are facing an acute shortage of skilled health workers. Mass migration, AIDS and armed conflict are among the key factors debilitating national health workforces, which in turn is constraining progress in reducing maternal and newborn mortality and morbidity. Furthermore, the distribution of health

workers is uneven, with greater concentration in developed countries compared to developing countries, and in urban areas relative to their rural counterparts within countries. In 2006, research by the World Health Organization recommended that countries should have an average of 2.28 health-care professionals per 1,000 population to achieve adequate coverage of skilled health personnel at delivery. Of the 57 countries that

fall below this threshold, 36 are in sub-Saharan Africa. The greatest shortage of health workers in absolute terms is in Asia, especially India, Indonesia and Bangladesh, but the largest relative need is in subSaharan Africa, where the number of health workers must increase by 140 per cent to reach the requisite density.12 In the World Health Report 2005, the World Health Organization estimates that increasing coverage of maternal health care for women by

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57 countries – 36 in sub-Saharan Africa – have less than the WHO minimum threshold of 2.28 health workers per 1,000 population that would provide adequate skilled assistance at delivery.

ering maternal mortality rates. A skilled birth attendant is defined by the World Health Organization as “an accredited health professional – such as a midwife, doctor or nurse – who has been educated or trained in management of uncomplicated deliveries and post-natal care and in the identification, management and referral of complications in women and newborns.”14 Yet the skills of health workers who fall into this category vary widely by country, and not all health workers

2030 would require coverage levels to rise threefold, with 334,000 skilled health attendants needed to reach 73 per cent coverage of births worldwide by 2015 – along with thousands more doctors, surgeons, anaesthetists, technicians and maternity units within facilities.13 No substitute exists for the presence of skilled health workers at delivery, which has been a common factor across a set of countries with diverse profiles that have succeeded in low-

described as ‘birth attendants’ have the skills required. Midwives or other mid-level providers who have been trained for shorter periods and require lower entry education qualifications should form one cadre within a spectrum of health workers who can undertake different roles, distribute workloads, and build a referral system for pregnant women and newborns. It is also critical to ensure that trained birth attendants are supported by an

Figure 4.4

Uptake of key maternal, newborn and child health policies by the 68 Countdown to 2015 priority countries 25

International Code of Marketing of Breast Milk Substitutes

28 13 2 Yes

Maternity protection in accordance with ILO* Convention 183

0

Partial

20 48

No

N/A

No data

18

Community management of pneumonia with antibiotics

11 31 8

New oral rehydration salts formula and zinc for management of diarrhoea

34 17 10 7 39

IMCI** adapted to cover newborns 0–1 week of age

3 21 5 23 14

Specific notification of maternal deaths

18 13 27

Midwives authorized to administer a core set of life-saving interventions

25 5 11 0

5

10

15

20

25

30

35

40

45

50

* ILO: International Labour Organization ** IMCI: Integrated Management of Childhood Illness Source: Countdown to 2015, Tracking Progress in Maternal, Newborn and Child Survival: The 2008 report, UNICEF, New York, 2008, pp. 200–201.

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© UNICEF/HQ07-1414/Anita Khemka

Strengthening the health workforce through recruitment, training and retention of skilled health personnel and community health workers is a key challenge for countries across the developing world. A doctor conducts a midwifery training course at a hospital, Afghanistan.

ating overdependence on an overworked, small staff.

munity health workers pay monthly visits to ‘high risk’ households – defined as homes including children under one, pregnant women and women of childbearing age – and assist babies with breathing difficulties.16 The distribution of responsibilities can give pregnant women and children more care while allevi-

environment that enables their skills to be used. This requires effective teams, supplies, supervision and referral systems. In Mozambique, for example, midwives and nurse midwives have helped obstetricians provide cost-effective quality emergency obstetric care functions in under-serviced areas.15 In Peru, com-

Countries also face the challenge of developing worker-retention strategies that adequately remunerate health workers and respond to their needs. In Mali, for example, the Ministry of Health offers newly graduated doctors training, accommodation, equipment, and transportation in exchange for service in rural areas.17 In Pakistan, the Punjab Safe Motherhood Initiative rotates postgraduate doctors from

Figure 4.5

Asia has among the lowest levels of government spending on health care as a share of overall public expenditure WHO regions The Americas

16

Europe

14

Africa

8

18 2000

15

2005

9

7 7

Eastern Mediterranean South-East Asia

4 3

Western Pacific

5

4

Country groups by income level 8

Global

9

High income

16

Upper middle income

9

18

10

2 2

Lower middle income Low income

4 0

2

4

5 6

8

10

12

14

16

18

20

General government spending on health care as share of total government expenditure, 2005

Source: World Health Organization, World Health Statistics 2008, WHO, Geneva, 2008, pp. 90–91.

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Saving mothers and newborn lives – the crucial first days after birth by Joy Lawn, Senior Research and Policy Advisor, Saving Newborn Lives/Save the Children-US, South Africa

Investing in post-natal care can generate high returns in maternal and newborn survival Across the human lifespan, an individual faces the greatest risk of mortality during birth and the first 28 days of life – the neonatal period. Each year, nearly 4 million newborns die during this period – equivalent to around 10,000 per day. Three quarters of these deaths take place within one week of birth, and 1–2 million die during the first day following birth. Most of these deaths occur at home, are unrecorded, and remain invisible to all but their families. Millions more suffer severe illness each year, and an unknown number are affected with lifelong disabilities. Moreover, the risks of maternal mortality and morbidity also are highest at birth and in the immediate post-natal period. For babies and mothers facing such complications as neonatal sepsis or post-partum haemorrhage, delay of even a few hours before appropriate care is delivered can be fatal or result in long-term injuries or disability. Important new data from Bangladesh show that a home visit on the first or second day after birth can reduce neonatal deaths by two thirds, but later visits are less effective at reducing mortality. The early post-natal period – the first seven days of life – is also the critical period for initiating high impact life-saving behaviours, including exclusive breastfeeding. Optimal breastfeeding does not start at the six-week visit for infant immunization – evidence shows that effective support and counselling in the first days of a child’s life directly increase rates of exclusive breastfeeding. Other key behaviours during the neonatal period, such as hygienic cord care and keeping the baby warm, can make the difference between life and death – particularly for babies who are born prematurely. The postnatal period is also a critical time for preventing mother-tochild transmission of HIV and for providing women with access to family planning options.

Coverage gap for early postnatal care Providing effective care for mothers and newborns during the early post-natal period has the potential to generate the greatest gains in survival and health of any period in the continuum of care. Despite this promise, however, the first days following birth are the time when coverage of appropriate services and behaviours is currently lowest. Among the 68 priority countries identified by the Countdown to 2015 initiative, a median of just 21 per cent of women received postnatal care.

Changing paradigms in post-natal care Growing recognition of the critical importance of providing care to mothers and newborns, and the substantial gaps in coverage that currently exist, along with evidence generated mostly from trials in South Asia, have prompted paradigm shifts. Three tenets have emerged:

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• Who for? Integration of post-natal care for mothers and newborns provides more effective and efficient care than separate approaches to post-partum and newborn care. • Where? Routine post-natal visits should be provided at home or close to home, both to promote healthy behaviours and to link with curative care – instead of just hoping that the mother or baby will be brought to a health facility if problems arise. • When? Early contact with mothers and babies is critical, ideally within 24 or at most 48 hours of birth for the first visit – instead of the more common visit six weeks after birth. The indicator measuring post-natal care published by the Countdown to 2015 in its 2008 report focuses on care within two days of birth. Large-scale surveys are changing to measure this indicator in more countries and communities.

Closing the gap between policy and action Changing policies and indicators to reflect the importance of post-natal care is necessary, but not sufficient, to save lives. Services must also be scaled up to ensure high coverage and quality care during this period. While the content of a post-natal care package is fairly clear, the most effective delivery mechanism will vary, especially to provide services in remote rural areas and to reach newborns and mothers immediately after birth. Figure 4.5 maps delivery options with conditions of access to health facilities and human-resource availability in facilities and at community level. Many of the tasks involved in postnatal care can be delegated to an extension worker who is adequately supervised and effectively linked with the health system.

Case management of neonatal infections is an urgent priority While early post-natal care visits for preventive care are immensely important, these are most effective at reducing mortality rates when integrated with curative care. Almost one third of newborn deaths result from infections; in poor, high-mortality settings, this proportion is far higher. Many of these babies are born preterm. With an effective post-natal care package, infections in newborns will be identified early. In most countries, however, newborn illness can only be treated through referral to a health facility; even then, only a low percentage of those referred will actually seek the care. One option is to have first level, routine IMCI health-care workers begin antibiotic treatment. In countries where community health workers already provide case management for pneumonia or malaria, case management of neonatal infections may also be considered to bring care closer to home. Several Asian studies have shown how such strategies can result in large reductions in neonatal mortality, and community case management of neonatal sepsis is now being scaled up in Nepal, linked to case

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management of childhood pneumonia. Of the 68 Countdown priority countries, 39 have changed policy to include case management of neonatal sepsis within the Integrated Management of Childhood Illness framework. The key challenge now is to identify the appropriate providers of such care in each country.

Closing the knowledge gap Almost all (98 per cent) of newborn deaths occur in low- and middle-income countries. Yet most research and funding have focused on incremental advances in highly technical care for the 2 per cent of newborn deaths occurring in high-income countries. An increasing number of studies are providing new guidance on the ‘how, who, when and where?’ questions for

provision of life-saving interventions where the majority of newborn deaths occur and particularly where access to health facilities is low. A network of studies is under way in eight African countries examining nationally adapted packages and potentially scalable cadres of workers. Analysis of lives saved and costs will help guide policies and programmes to improve maternal and newborn care in the earliest days of life.

See References, page 111.

Figure 4.6

Post-natal care strategies: Feasibility and implementation challenges Possible strategies for post-natal care contact 1

Mother and baby go to facility

2

Motherfriendly

Providerfriendly

Implementation challenges

*

***

Requires mother to go to the facility within a very short time after birth. More likely following a facility birth, but still challenging in first days after birth.

Skilled provider visits the home to provide post-natal care for mother and baby

***

*

Conditional on sufficient human resources, which is challenging. Providing post-natal care may not be highest priority for skilled health personnel in settings where their attendance at birth is still low. Many post-natal care tasks can be delegated to another cadre. A skilled provider may be able to provide home visits during the post-natal period if rural health facilities are quiet during afternoons.

3

Community health worker visits home to see mother and baby

***

*

Requires sufficient numbers of community health workers with adequate training, supervision and incentives.

4

Combination: Facility birth and first post-natal care visit in facility, then home visit within two to three days, with subsequent post-natal care visits at a health facility

**

**

Requires team approach between facility-based and community health workers, sufficient human resources, management and supervision, effective referral systems and an efficient information tracking system so that the progress of the mother and baby is easy to track.

Note: * Low degree. ** Moderate degree. *** High degree Source: Lawn Joy, and Kate Kerber, editors, Opportunities for Africa’s Newborns: Practical data, policy and programmatic support for newborn care in Africa, Partnership for Maternal, Newborn and Child Health, Cape Town, 2006.

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Initiatives to include community partnerships in supporting maternity services are showing promise in several developing countries.

sub-district hospitals to the district hospital in Sheikhupura, providing quality obstetric and emergency care 24 hours a day.18 Other non-financial incentive schemes, such as short-term rotation of midwives, training opportunities and psychosocial support groups, have been used in southern and eastern Africa, with varying degrees of success, but larger-scale implementation and further research are required to fully evaluate their impact.19

Step 3: Fostering social mobilization Supply-side measures cannot be successful without strengthening demand

for quality health care at the level of households and communities. Social inclusion must be prioritized and individual families – particularly women – and communities must be included and treated as partners in health-care provision. Numerous cases show that negative experiences from contacts with formal health-care facilities can dissuade families and even entire communities from seeking care.

women themselves may be blamed for their own ill health and disease, and the mortality and morbidity of newborns. Where stillbirths and newborn deaths are common, they may not be seen as preventable. While communities cannot be forced to accept alternative practices, they can become partners in the promotion of their own health and well-being and that of their mothers and children.

One of the most important interventions to improve maternal and neonatal health is the recognition of preventable risks. Entrenched cultural attitudes and beliefs often surround pregnancy and childbirth, and

Although health education is central to fostering healthy practices and behaviours and appropriate knowledge for care seeking, partnerships that involve key community stakeholders directly in health

Figure 4.7

Lower-income countries pay most of their private health-care spending out of pocket WHO regions 90 88

South-East Asia

88 88

Eastern Mediterranean 83

Western Pacific

2000

88

68 69

Europe 48

Africa 31

The Americas

2005

52

34

Country groups by income level 51 53

Global 36

High Income

39 65

Upper middle income

91 91 90

Low income 0

10

20 30 40 50 60 70 80 90 Out-of-pocket expenditure on health as a percentage of private expenditure on health, 2005

Source: World Health Organization, World Health Statistics 2008, WHO, Geneva, 2008, pp. 90–91.

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69 85

Lower middle income

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Mobilizing families, including men and other relatives, to recognize and respond to health risks is essential to strengthen the supportive environment for maternal and newborn health.

Burundi: Government commitment to maternal and child health care Burundi is one of the world’s least developed countries. Protracted civil war and halting political restructuring have stymied economic and social progress. Poverty rates are soaring, with nearly 88 per cent of Burundians living on just US$ 2 a day. Undernutrition affects 66 per cent of the population, and more than half of children under age five suffer from moderate or severe stunting. In 2005, women faced a lifetime maternal death risk of 1 in 16. The adjusted maternal mortality ratio stood at 1,100 deaths per 100,000 live births in 2005, and the neonatal mortality rate was 41 per 1,000 live births in 2004. Burundi has learned through experience the importance of providing affordable, quality health care for the poor in general, and for mothers and children in particular. In February 2002, the Government implemented a cost-recovery programme that required patients to pay for medical consultations, tests and drugs. The initiative aimed to generate resources for a nascent health-care system and was implemented in 12 of 17 rural provinces, covering 5 million of the country’s 8.5 million inhabitants. The programme’s introduction increased the numbers of patients who were unable to pay for the medical services they received in public hospitals, and many of them were subject to detention in the facility. Women who had delivered by Caesarean section comprised an estimated 35 per cent of indigent hospital patients included in a 2006 Human Rights Watch report on patient detentions; 10 per cent of the indigent patients in the study were children. In addition to the burdensome expenses, health-care services for women and children were often of poor quality.

and UNICEF. Another important step was taken in 2007, when Burundi was one of eight countries to join the International Health Partnership, a country-led and outcome-driven collaboration between governments, international organizations and non-governmental organizations. A major objective of this partnership is to identify a set of key goals, which include raising the number of institutional deliveries and increasing services to prevent mother-to-child transmission of HIV. Burundi’s National Reproductive Health Policy now includes newborn care as a critical strategy in reducing child mortality. A central feature of this policy will include scaling up services to prevent mother-to-child transmission of HIV. The median HIV-infection prevalence rate for young pregnant women aged 15–24 in Bujumbura stood at 16 per cent in 2005. One area for future programming may be securing greater male support for prevention of mother-to-child transmission strategies. The country has also embarked on providing badly needed basic health care that will positively affect women and children. Immunization programmes have provided tetanus toxoid vaccine to nearly three quarters of women in high-risk districts. Such efforts have galvanized stakeholders at the national and local levels. But sustained governmental prioritization of health care for the poor will be necessary for the continued support of international and grass-roots actors in building Burundi’s health infrastructure.

See References, page 112.

The current Government, led by President Nkurunziza, has begun to take steps towards tackling this health-care crisis. In 2005, when Burundi joined the International Monetary FundWorld Bank ‘Heavily Indebted Poor Countries Initiative’ with interim debt relief in 2005, the health budget was tripled. In 2006, the Government took the critical step of announcing free health care for pregnant women and children. A new policy, ‘Road Map for the Reduction of Neonatal and Maternal Mortality’, was drawn up and launched in that same year with the assistance of the United Nations Population Fund, World Health Organization, World Food Programme

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Financing quality health care is a global challenge. Almost one third of the 68 priority Countdown to 2015 countries spend less than the initiative’s minimum threshold of US$ 45 per person each year.

provision are also important. One such example is under way in Burundi, where traditional birth attendants have been included in institutional deliveries as assistants to formal health-care workers and new mothers, who share food and other gifts rather than paying the attendants money.20 Health systems can also enlist communities through inclusion rather than coercion. Policymakers in Ecuador took such an approach by legally integrating intercultural approaches in reproductive and sexual health, with the aim of encouraging greater participation of indigenous women in sustainable health development. This strategy

may help address the belief of some indigenous women that their cultural practices, such as vertical positioning during delivery, were excluding them from modern health services.21 Engaging men and other family members The goal of greater unity requires not just inclusion of more women but of men as well. Studies suggest that men perceive a myriad of complications that result in maternal mortality, yet they do not always recognize their own roles in preventing these deaths. More extensive research on men’s roles in maternal and child survival and health is needed because most currently available studies focus on economic provision and less on

disease prevention, care, nutrition, and other health determinants.22 Just as male and female parents can be mobilized, so, too, can other family members. In many societies where extended kin live in close proximity, in-laws and other older relatives have influence in healthcare decision-making. In Mali, for example, the involvement of grandmothers in community education led to increased awareness of good nutrition for mothers and babies and the detrimental effects of heavy work for mothers as well as greater involvement by fathers in the care of their partners and newborns. The programme also improved relations between women and their

Figure 4.8

Low-income countries have only 10 hospital beds per 10,000 people WHO regions Europe

63

The Americas

24

Western Pacific

33

Eastern Mediterranean South East Asia

14 N/A

Africa

9

Country groups by income level Global

30

High income

59

Upper middle income

42

Lower middle income

23

Low income

10 0

10

20

30

40

50

Hospital beds per 10,000 population, 2005

Source: World Health Organization, World Health Statistics 2008, WHO, Geneva, 2008, pp. 82–83.

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60

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Integrating maternal and newborn health care in India India’s progress is critical to improving maternal and newborn health on a regional and global scale. According to the latest international estimates, India’s maternal mortality ratio stood at 450 per 100,000 live births in 2005, while the neonatal mortality rate was 39 per 1,000 live births in 2004. Both figures represent reductions of rates in previous years. Yet even as its economy grows rapidly – with real gross domestic product expanding at an average annual rate in excess of 9 per cent in 2007–2008 – widening disparities are prevalent in health outcomes between income groups and between social and caste groups. Growing inequities, combined with shortages in the provision of primary health care and the rising cost of care, are complicating the country’s efforts to meet the healthrelated Millennium Development Goals. With a total population of roughly 1.1 billion, broad environmental and sociocultural diversity and an intricate political system comprising 28 states and 7 union territories, India’s efforts to manage its citizens’ health care have been largely decentralized. The Government of India has emphasized expanding primary health care, which is, by constitution, under the purview of the states. Beginning in 2000, it began a greater push to provide care to women and children in rural areas and in poor-performing states such as Bihar, Orissa and Rajasthan. It has also encouraged private health care, which few can yet afford, while spending on public health care has fallen to just 2 per cent of gross domestic product. To address the widening disparities, the Government of India has issued a commitment to ‘inclusive growth’. One such initiative is Janani Suraksha Yojana, a governmentsponsored project under the National Rural Health Mission that provides cash incentives for antenatal care during pregnancy, assisted institutional delivery, and post-partum care by field-level workers. The benefits extend to all pregnant women aged 19 and older living below the poverty line in 10 states, for up to two pregnancies. Women who are not enrolled in the programme but who experience complications such as obstructed labour, eclampsia and sepsis are also eligible for benefits. The programme also includes a mechanism for accrediting and compensating participating private practitioners. According to one follow-up study undertaken in select districts in Rajasthan in 2007–2008, Janani Suraksha Yojana has increased access to antenatal and post-natal care. The review also revealed that 76 out of 200 participants in the study, or nearly 40 per cent, were girls under 18, the legal age of marriage in India. The programme is successfully expanding access to care while allowing the Government to monitor more closely the situation of girls and women.

Some states have also taken the initiative to inaugurate health partnerships with the private sector. In Gujarat state, one of India’s most developed provinces, the shortage of skilled health-care providers has prompted the state government to join with private hospitals to provide free obstetric care for pregnant women living below the poverty line, especially those of scheduled castes and scheduled tribes. Chiranjeevi Yojana – meaning ‘a programme for long life’ – was launched in 2005 and operates through a memorandum of understanding between the Government of Gujarat and private obstetricians. For every delivery, the Government pays Rs 1,795 (US$ 40), which also includes Rs 200 towards transportation costs for each patient and Rs 50 for the person accompanying the beneficiary, to compensate for the loss of earnings. In 2006, a United Nations Population Fund study of Chiranjeevi Yojana reported that the programme had successfully raised the number of births delivered in health facilities, and that private practitioners were mostly enthusiastic about their participation in the initiative. It also noted the reluctance of patients to utilize facilities for births, and that their spouses and in-laws had great influence on decision-making, which limited their ability to actively seek healthcare. The study made several recommendations, including the establishment of an independent body to ensure quality control and equitable implementation. The Gujarat Government’s initiative is a departure from previous practice in that it took sole responsibility for the reimbursement of private health-care providers, rather than relying on intermediary parties such as insurers. The state government is working with professional agencies such as associations of obstetricians and academic organizations to plan and implement the new arrangements. Showing remarkable successes, the programme has been expanded from five to all 25 districts of Gujarat. Between January 2006 and March 2008, 180 doctors were enlisted. Nearly 100,000 deliveries were performed, with each doctor performing an average of 540. While a promising experience, ongoing monitoring and evaluation are required to ensure improvements are made and the desired impact is achieved.

See References, page 112.

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© UNICEF/HQ08-0043/David Turnley

Strengthening and integrating maternal and neonatal care requires national and international commitment and global health partnerships among agencies and institutions. A woman holds her toddler and a cup of complementary food, Sierra Leone.

mothers-in-law, reducing shame and mistrust that had created distances between them.23

Step 4: Ensuring equitable and sustainable financing Financing quality health care is a global challenge for industrialized and developing countries alike. Although there are no internationally agreed thresholds on minimum per capita total spending, the Countdown to 2015 initiative has estimated that per capita spending of less than US$45 is insufficient to provide quality basic health care services. Among the 68 priority countries for maternal, newborn and child health identified by the Countdown to 2015 initiative, 21 have spending of less than US$45 per capita.24 Public expenditure on health can be a key determinant of health system capacity. Countries with low rates of spending per capita may be 86

associated with poor health outcomes, gaps in staffing, and weak investment in health-care infrastructure and logistics.25 Data from the Pan-American Health Organization have shown that in 2004, the average expenditure on public health was just 2.6 per cent of gross domestic product for lowand middle-income countries as a whole, in sharp contrast to the near 7 per cent of GDP spent by high-income countries. South Asia had among the lowest rate of spending, at just 1.1 per cent of gross domestic product. While sub-Saharan Africa spends slightly more of its GDP on health care (2.4 per cent in 2004), only a few countries in this region are meeting the commitment made in the 2001 Abuja Declaration of apportioning 15 per cent of their national budgets to health care spending.26 Countries and donors are increasingly recognizing the pivotal importance of maternal and newborn health care

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in equitable social and economic development. Many governments, even in low-resource areas, are exploring different strategies for helping families manage the costs of routine and emergency obstetric and newborn care. Various options are possible, including reducing or eliminating direct user charges; implementing social protection initiatives such as cash transfers and vouchers on either a conditional or unconditional basis; and introducing national or community health insurance or subsidizing private provision of health care for poor households.27 Direct user charges A key area of debate in health financing is direct user charges, which are an important barrier to accessing health services, particularly for poor people. Removing user fees has the potential to improve access to health services, especially for the poor. Several countries across the developing world have already abolished, or are in the process of eliminating,

Options for improving equity in maternal and newborn health care include increasing health budgets, eliminating direct user charges, implementing insurance initiatives and cash transfer programmes.

some or all direct charges – often with encouraging increases in access to health-care services. These countries range from Burundi in Eastern Africa (see Panel on page 83) and Ghana in West Africa to selected districts of Nepal.28 No systematic evaluation of user fee removal across developing countries has taken place so far. Preliminary evidence suggests that in countries where user fee removal was not supported by other policy measures, such as increased national budgets for health care or careful planning and deliberate implementation strategies, health system problems tended to increase and performance weakened. In countries where fee removal was carefully planned and managed, however, there are signs of increased utilization of services and indications that the poor may have benefited most, although the incidence of catastrophic expenditures among the poor did not fall.29 The experiences of Uganda and South Africa suggest that for fee removal to be effective, it needs to be part of a broader package of reforms that includes increasing budgets to offset lost revenue, maintain quality and respond to increased demand. It also requires clear communication and wide stakeholder buy-in, careful monitoring to ensure that official fees are not replaced by informal fees, and appropriate management of the alternative financing mechanisms that are replacing user fees.30

It should be emphasized that user fees are not the only barrier that the poor face. Other cost barriers include informal fees; the cost of medicines, laboratory and radiology tests not supplied in public health facilities; travel, food and accommodation; and charges in private health-care facilities. These costs generally make up a significant proportion of the total costs that households face and disproportionately affect the poor.31 In addition, a number of quality, information and cultural barriers must also be overcome before the poor can access adequate health services. The evidence indicates that the poor are disproportionately affected by these non-cost barriers. Although user fees are only one of many barriers facing the poor, they are among the most amenable areas for policy action. As the recent experience from Uganda has shown, the policy process of fee elimination can have a catalytic effect in allowing governments to confront other issues, such as drug supply and procurement, budget allocation or financial management, which pose further barriers to progress.32 Clearly, removing user fees is not a simple exercise. Countries that seek to move in this direction require support in planning and implementating this policy change, and need to link the removal of direct user charges to broader measures for strengthening health systems.

It should be noted that the context for user fee removal is critical, and no blanket policy is likely to address the needs of each country. Careful analysis of the country-specific situation, the equity implications of alternative financing and delivery strategies and the multiple financial and non-financial barriers to access is required to support decisions on the most appropriate course of action. Insurance and transfers National health insurance schemes such as Bolivia’s social insurance for maternal and child health-care services can increase access for the poorest women to antenatal and delivery care.33 Yet this form of financing is hard to expand in countries with limited formal sector employment, low incomes, dispersed households and minimal infrastructure. Community health insurance schemes, which operate more informally and on a smaller scale than social insurance schemes, have increased institutional-delivery rates by 45 per cent in Rwanda and by 12 per cent in the Gambia.34 A cost-sharing scheme in an urban district of Burkina Faso increased the number of emergency referrals from 84 to 683 in a year.35 It may be difficult to expand such schemes for wider coverage, however, and they require government or donor support because they may not be selffinancing and are dependent on effective community mobilization. Conditional cash transfers and voucher schemes are being piloted

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Financing and development strategies should take account of the national and local context, and also focus on indirect barriers to access, such as transport costs and infrastructure.

to generate demand for specific services among the poor. Cash transfers have increased antenatal care during the first trimester among poorer women in Mexico by 8 per cent and in Honduras by 15–20 per cent.36 India has provided financial incentives for deliveries in facilities for women from marginalized groups in priority districts. While these initiatives have increased access to health-care services, effective improvements in maternal health outcomes may not be realized without concomitant improvements in quality of services. Continued monitoring and evaluation of these financing innovations are required to inform appropriate scale-up by policymakers. Private-sector providers The private sector has become an important health-care provider, particularly in Asia, but the evidence base to measure its effectiveness is still limited, with most evaluations measuring short-term changes in provider behaviour, not health outcomes or other impacts on beneficiaries. The private sector is heterogeneous in nature and encompasses a variety of providers, including traditional healers and birth attendants, church-based hospitals, spas and corporate global entities that may operate without regulation and oversight. In many low-income countries, private providers work in environments where formal regulatory controls, whether in the form of professional associations, legislative enforcement or government taxation, are weak.37

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Attention to the emerging publicprivate mix in health systems is urgently required as inequitable financing profiles and the unregulated nature of the private sector can affect government commitments to health care, public confidence and socio-economic disparities. Findings from studies of private services in India, Indonesia and Mexico show the challenges of assessing quality of care across the public and private sectors and the importance of taking into consideration the national context before drawing definitive conclusions about either sector.38 Governments face the challenge of improving the regulation of private health-care providers, using international guidelines to develop national policies that mandate minimum standards for such services as antenatal care, case management of HIV and AIDS, maximum acceptable rates for Caesarean-section deliveries and other critical issues in maternal and newborn care.

Step 5: Strengthening infrastructure, transportation, logistics, supplies and the referral process Strengthening health systems to support maternal and newborn care requires investing in sectors that support essential maternity and basic health-care services. In addition to enhancing information systems, it is also imperative to expand human resources, foster social mobilization and establish equitable financing, and develop infrastructure, supplies,

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logistics, transportation and the referral process. Greater investment in expanding health-care facilities is urgently needed, particularly in lowincome countries. The latest WHO estimates indicate that there are just 10 hospital beds per 10,000 population in low-income countries, compared with almost six times that number for higher-income countries.39 Where facilities exist, governments and other supervising agencies must ensure that they are properly functioning and maintained. In Uganda, where declines in maternal mortality have been registered, a review of emergency obstetric care facilities showed that in 54 districts out of 56 throughout the country, over 97 per cent of facilities expected to provide basic emergency services were not able to do so. Lack of running water, electricity, and functioning operating theatres were among the key impediments to service delivery.40 Further reviews are urgently required to ensure that existing facilities are upgraded and new ones are established in a sustainable manner. Funding for medical supplies, including essential medicines, is a further priority. The UN inter-agency list of essential medicines for reproductive health serves as a useful guide to the minimum number of effective, costsaving drugs that should be available.41 Plans for health infrastructure development should consider the best means of improving transportation systems to aid women and

Enhancing the quality of care is required both to ensure safety and well-being, and to encourage greater use of health-care services.

children in accessing routine and facilities-based emergency care and, in some environments, to enable mobile healthcare teams. Programmes in India (see Panel on page 84) and rural Nepal offer examples of how incentives can be offered to finance transportation for pregnant women.42 Improving transportation infrastructure will also assist in strengthening the referral process, which remains a neglected and under-researched element of emergency maternalnewborn services and of health systems more broadly. Yet it is often a crucial element for the survival of mothers and newborns. Reducing the time between referral and getting women to facilities is often critical to their survival. In a study in rural west Maharashtra, India, the distance to general health services was 3 km for women who died from complications and 2.5 km for women who survived similar complications. But the distance to reach appropriate treatment for birth complications was 63.5 km for women who died and 39.3 km for women who survived. A study in Karnataka, India, showed that referrals of women for emergency obstetric care reflected multiple, but haphazard and frequently futile, attempts to get effective care from a range of poorly functioning government services and informal and private providers. Although informal networks connected private providers, there was no feedback or

learning mechanism for referral in government services.43 To be more responsive and effective, referral systems must at a minimum ensure: communication between facilities to prepare for urgent cases, transportation and clinical stabilization of patients, accompaniment during referral, follow-up of each case and the ability to move care to a patient if it is too risky to transport the patient. More broadly, referral systems must assess population needs and health system capabilities, encourage active collaboration between referral levels and across sectors, formalize communication and transport arrangements, develop protocols for referrer and receiver, ensure accountability for provider performance and supportive supervision, provide protection against the financial costs, and develop indicators to monitor effectiveness.

Step 6: Improving the quality of care Definitions of quality maternity and neonatal care have expanded from an exclusive focus on biomedical outcomes to a more inclusive approach that also takes into consideration patient rights and satisfaction, standards, equity, and the responsibilities and rights of health institutions and workers. Good quality care provides a minimum level of care to all pregnant and intrapartum women and neonates, while having the capacity to attend to those requiring emergency or more special-

ized services. Such care should strive to obtain the best possible medical outcome; satisfy providers, patients, and families; maintain sound managerial and financial performance; and develop existing services in order to raise the standards of care provided to all women.44 While existing health systems in industrialized and middle-income countries may need reform to provide more accessible and better maternity and neonatal services, emerging health systems may build quality of care mechanisms into new programmes. In Côte d’Ivoire, for example, a national programme was launched in 2000 to integrate prevention of mother-to-children transmission of HIV into existing maternal health services. A recent study has shown that the programme has improved overall quality of care in many areas, including administration of oxytocin in the third stage of labour and checking the uterus post-partum.45 Such programmes offer staff new training opportunities and greater investment in their own responsibilities as well as critical opportunities to save lives. Various organizations have underscored the need for emergency obstetric care by engaging in quality of care measures in such diverse countries as Mali, Peru and Viet Nam. Building on the foundation for emergency obstetric care, these measures improved and simplified reporting and monitoring mechanisms, developed protocols and standards in

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Creating a supportive environment and strong political will are critical to the success of health-system strengthening.

an inclusive and participatory manner and fostered competency through skill-based training and continuous supportive supervision. Improved teamwork was facilitated through better communication and referral systems. Women’s concerns and rights were addressed, partnerships with communities were initiated and providers were empowered to employ problem-solving innovations.46 For these measures to succeed, they need senior managerial support and ownership. Evaluations of Health Workers for Change found that while changes were carried out at local levels, they were not necessarily supported by concomitant higherlevel policy measures.47 Problems that require higher levels of managerial accountability or policy change – staff vacancies and transfers, financial discretion for staff, reporting formats, availability of critical inputs like blood – can limit the effect of local quality of care processes on maternal health outcomes. Health workers cannot effec-

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tively bring about change, nor be held effectively accountable for lack of change, if their working environments are not supported by health adminstrators and the elected leaders that direct them.

Developing health systems: The case for collaborative action The key elements for health systems development – strengthening the evidence base, expanding and enhancing the health workforce, upgrading and broadening infrastructure and logistics, providing equitable financing solutions and stimulating demand for quality care through social mobilization – are being increasingly accepted by national governments and local and international agencies. Furthermore, there is a growing consensus on the merits of scaling up integrated packages of essential services and leveraging community partnerships in the provision of maternal and newborn care. Finally, there is

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also commitment, as stated in both this and last year’s report, to creating a supportive environment for maternal, newborn and child survival and health that respects and advances the rights of women and children. Translating promise into purposeful action will take more than strong words or firm commitments. It will require nothing less than the concerted action of national governments, the international development community, civil society organizations, the private sector, and households and communities themselves, to take responsibility for improving the health of mothers and newborns as a barometer of national and international respect for human rights and commitment to human progress. Chapter 5 examines some of the partnerships that are driving this process forward, and suggests how such collaborations may be enhanced in the coming years.

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© UNICEF/HQ07-1151/Shehzad Noorani

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Working together for maternal and newborn health

Improving maternal and newborn health will require collaboration, commitment and creativity. International and national efforts are becoming increasingly cooperative in meeting the challenges of the Millennium Development Goals and other internationally agreed objectives. It is time to apply the same determination, evidence, innovation and resources that enabled swift and sustained gains to be made in many aspects of child survival to maternal and newborn health. The final chapter of The State of the World’s Children 2009 examines the collaborative partnerships and programmes that are striving to create supportive environments, establish continua of care and strengthen health systems to improve maternal and newborn health. It explores ways of strengthening collaboration, enhancing aid effectiveness and applying resources and commitment to achieve concrete results.

T

he halfway point for meeting the health-related Millennium Development Goals has come and gone. The report card on progress to date has been mixed. Much has been done in recent years to accelerate advances in maternal, newborn and child health, coordinate actions and scale up essential interventions. Concrete gains have been achieved, particularly in reducing the number of deaths of children between 29 days and five years of age (the post-neonatal period) in many developing countries. International assistance for maternal, newborn and child health has risen, encouraging higher aid inflows, strengthening partnerships and consolidating frameworks for action. The challenge is to build on these gains over the remaining years to 2015 and beyond. Particular attention must be given to the needs of Africa and Asia, the two continents that have the greatest burden of maternal and neonatal deaths. Within all developing regions, including those broadly on track to meet all or some of the health MDGs, there are countries,

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communities and socio-economic groups that are falling behind in their efforts to meet the goals and merit stronger efforts in support of maternal and newborn health. The need for collaborative action is paramount. Meeting the challenge of improving maternal and newborn health will require creative, consistent and concerted efforts at the macro level to create supportive environments for women and girls, establish continua of care and strengthen health systems. This report has reiterated a widely known truth: There is nothing mysterious about maternal and neonatal mortality. The reasons women and babies die from causes related to pregnancy and childbirth – and why millions of children die during the first 28 days of life – are well understood. Addressing them requires good data and analysis, sound strategies, adequate resources, political commitment and collaborative partnerships. As outlined in previous chapters, the weaknesses of health systems in individual countries

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require country-specific actions where the mix of corrective action depends on country profiles, policy choices, specific cost functions and the creation of a supportive environment for maternal and newborn health based on respect for the rights of women and children. To this end, the final chapter of The State of the World’s Children 2009 focuses on recent developments in global health partnerships, briefly exploring three key areas: collaboration; aid effectiveness; resources and commitment for results.

Strengthening collaboration Recent years have seen an expansion of global health partnerships, spurred in part by the emphasis on collaboration embodied in MDG 8 – which seeks to develop a global partnership for development – and the 2002 Monterrey Consensus on Financing for Development. These initiatives are having a crucial effect in several areas, particularly research, evaluation and prevention and treatment of communicable diseases such as AIDS, tuberculosis, measles and malaria.

One example relates to measles: In 2007, Africa was able to report a 91 per cent drop in measles deaths between 2000 and 2006. This unprecedented success resulted from a concerted drive by national governments and international partners to boost measles immunization.1

income countries received antiretroviral therapy to prevent transmission of HIV to their children, up from 15 per cent in 2005. In addition, the number of children receiving antiretroviral therapy has almost tripled, from 75,000 in 2005 to 200,000 in 2007.2

Prevention of malaria, too, is being addressed through distribution of insecticide-treated mosquito nets, increasingly available free through mass campaigns. The drive to combat HIV and AIDS, meanwhile, is making progress on many fronts. In 2007, 33 per cent of the estimated 1.5 million HIV-positive pregnant women in low- and middle-

These are but three of the examples of how coordinated action between national governments and international partners is delivering concrete improvements in the lives of mothers, newborns and children.

© UNICEF/HQ07-1314/Anita Khemka

Maternal and newborn health has drawn specific attention from global health partnerships and initiatives in

Comprehensive reproductive health care; skilled care during pregnancy; delivery by a trained midwife, nurse or doctor; and emergency obstetric care for life-threatening complications should be available to expecting mothers and newborns. A doctor leads a training session for nursing students as part of Woman’s Right to Life and Health Initiative, Pakistan.

recent years. This has led to the formation of several new collaborations that complement the work of longstanding partnerships in efforts to accelerate progress towards MDG 5. The increase in global health partnerships for maternal, newborn and child health is not without challenges, however. Depending on the definition used, global health partnerships number over 100, and developing countries have sometimes reported difficulties in interacting with the large number of initiatives.3 Further, while there is a consensus around the imperative of creating effective continua of care for mothers, newborns and children, the challenge remains to complement vertical flows of aid on disease-specific interventions with a strengthening of integrated approaches, combined with health-systems development. Integrating the work of global health partnerships in establishing national continua of care is a key challenge for the coming years. Several bilateral donors are already taking steps to harmonize their collaboration and improve the effectiveness of their contributions through partnerships. These include the Global Campaign for the Health Millennium Development Goals, led by the Government of Norway; Providing for Health Initiative, led by Germany and France; the Catalytic Initiative to Save a Million Lives, led by Canada; and GAVI’s Health Systems Strengthening Window.

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Focus On

Working together for maternal and newborn health by Sarah Brown, Patron of the White Ribbon Alliance for Safe Motherhood and wife of Gordon Brown, Prime Minister of the Government of the United Kingdom.

Much of my work over the past few years has focused on preventive programmes to improve the health of infants born prematurely or following difficult pregnancies. Increasingly, by working together, the medical community in the developed world is improving interventions to ensure that a newborn arriving in difficult circumstances receives the necessary care in the first crucial stages of life to survive and enjoy quality of life. However, the state of infant survival in the developing world sits in stark contrast to the situation in industrialized countries like the United Kingdom. As a representative of the international advisory board of the Royal College of Obstetricians and Gynaecologists, I have observed the training programmes that the RCOG conducts in numerous countries in Africa and Asia at first hand. What this practical experience has brought home to me is the realization that you cannot start saving the most vulnerable infants and children without first ensuring the health of their mothers. The reason is simple: It is the mothers who do the work of raising their children, feeding them, getting them into school and taking them for their vaccinations. By contrast, children who have lost their mothers are almost five times more likely to die in infancy than those who still have their mothers, and motherless newborns are ten times more likely to die. The scale of this problem becomes evident when you look at annual numbers of maternal deaths, which are little changed in almost 20 years. Across the world this year, more than half a million mothers will lose their lives in pregnancy and childbirth, and almost all of these deaths will occur in poorer countries. In addition, for every mother who dies, 20 women are left suffering from injuries and disabilities as a result of complications in childbirth. It is vital that we – governments, non-governmental organizations, faith-based organizations, private-sector companies and committed individuals – all work together to ensure that in every country and community around the globe, women have access to essential primary health care and skilled health workers. This is what will save the lives of mothers – and so bring better life chances to newborns and children otherwise at grave risk. If we get this right, we will save lives at every stage of the life cycle. Millennium Development Goal 5, which seeks to improve maternal health, lies at the heart of all of the MDGs. Access to skilled health workers supports the continuum of care women and their children need. Mothers give birth safely when they can access antenatal support and skilled care during childbirth and the critical time afterwards. A well staffed, well stocked health centre will also ensure that infants receive essential vaccinations and that the necessary medications are available to keep them from dying from malaria or pneumonia. We must do more than focus on vertical solutions. All active organizations working to eradicate poverty and disease and to improve health care and education must find the opportunity to integrate delivery. We need to maximize the effectiveness of

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precious resources and respond to genuine local need. We have seen the difference that effective health services can make. The evidence is clear. Japan reduced its maternal mortality rate by two thirds in the decade following 1945. It achieved this by introducing community health workers that provided consistent health care from pregnancy right through to when a child starts school. Mothers were educated on their rights and the importance of quality health care through a mother-and-child handbook of which the Japanese are rightly proud. Also important to this achievement was the vital injection of political will and momentum that continue even today. International leadership is critical to focusing attention and channelling resources for maternal health. Right now, as we count down to the MDG deadline in 2015, we have worldwide momentum. Right now we can achieve worldwide change. Never before has this issue had so much visibility and support from so many different sources around the world. At the G8 Summit in Japan this year, for the first time, maternal health was on the agenda. However, we must understand that governments cannot dramatically reduce maternal mortality on their own. Non-governmental organizations are increasingly making maternal health a priority and working together. They are joining grass-roots organizations, such as the White Ribbon Alliance for Safe Motherhood, whose members have been campaigning in more than 90 countries for progress. An impressive start has been made by the world’s midwives, obstetricians and gynaecologists. Their professional organizations, led by the International Federation of Gynaecology and Obstetrics and the International Confederation of Midwives, are committed to working together to help developing countries train health workers in antenatal care, delivery and infant care skills. We can all play our part in reducing maternal mortality. Individuals can campaign for change, communities can raise awareness among their men and women, and nongovernmental organizations, private-sector organizations and governments can work together to find practical solutions. Let each of us bring our skills to the table and work together to raise the bar in maternal and child health around the world. We must work together to ensure that there is access to well-trained health workers in every country and community that needs them, and that each government is ready to put them to work. We owe it to the millions of mothers who have lost their lives unnecessarily over the last 20 years. We owe it to the thousands of pregnant women around the world giving birth every day in fear of their lives. We owe it to the next generation of children born in the poorest countries of the world – children who need, and deserve, their mothers.

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The International Health Partnership (IHP), launched in September 2007, is a coordinating partnership that brings together governments, donors and international agencies to harmonize their efforts and support national health development plans. Country and global compacts are the key mechanisms by which the IHP aims to support this process. In August 2008, Ethiopia became the first country in which the Government and partners have signed a country compact with the IHP. Mozambique also endorsed a country compact in September 2008, and other countries in Africa and Asia are set to sign agreements in the coming months.5

Improving the effectiveness of international aid Several high-level forums have set out to tackle the problem of aid effectiveness. Based on the 2005

© UNICEF/ALBA000331/Giacomo Pirozzi

For their part, the work of the eight major international health agencies – the World Health Organization, UNICEF, the World Bank, GAVI, the United Nations Population Fund, the Joint United Nations Programme on HIV/AIDS (UNAIDS), the Global Fund to Fight AIDS, Tuberculosis and Malaria, and the Bill & Melinda Gates Foundation – is being enriched by increased dialogue through the informal Health-Eight (H8) group. The H8, which held its inaugural session in July 2007, meets twice a year to examine the challenges to expanding key health interventions and accelerating progress towards the health-related MDGs.4

Strong public investment in the overall health system and unified national and international action and commitment will lead to improved maternal and neonatal survival and health. A nurse attends a newborn at a UNICEF-supported health centre for mothers and children, Albania.

Paris Declaration on Aid Effectiveness, a set of best practices for global health partnerships has been generated with a focus on harmonization of efforts, alignment of support with national strategies and systems, country ownership, mutual accountability and managing for results. The OECD Development Assistance Committee has also responded to the need for further practical guidance. In September 2008, a third High Level Forum on Aid Effectiveness took place in Accra, Ghana. The Accra Agenda for Action, endorsed by the Forum’s participants, deepened and strengthened the commitment. It underlined

the need to accelerate aid effectiveness in three key areas: strengthening country ownership, building more effective and inclusive partnerships, and focusing on development results – and openly accounting for them. Within the area of partnerships, the Accra Agenda for Action recommended that partnerships adopt five key tenets to improve aid effectiveness. These include: • Reducing the cost fragmentation of aid through enhancing the complementarity of donor efforts and promoting a better division

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Key global health partnerships for maternal and newborn health In recent years, global health partnerships have emerged to lend attention to, and raise resources for, maternal and newborn health. Some of the key partnerships are highlighted below. • The Partnership for Maternal, Newborn and Child Health is a global health partnership launched in September 2005 that brings together maternal, newborn and child health organizations into an alliance of some 240 member groups. The Partnership, hosted and administered from Geneva by the World Health Organization, advocates for greater investment and commitment to saving the lives of mothers and children. In July 2008, it issued a Global Call asking G8 leaders to fund basic health services for women, newborns and children and urging organizations and individuals to sign on to its demands for political leadership and investment. • Deliver Now for Women + Children Campaign is a new advocacy drive to eliminate maternal and child deaths and improve the health of women and children around the world, co-ordinated by the Partnership for Maternal, Newborn & Child Health. It is a response to concern that the world is lagging far behind in reaching the Millennium Development Goals (MDGs) for reducing maternal and child deaths. • The Global Campaign for the Health Millennium Development Goals was unveiled on 26 September 2007 by Norwegian Prime Minister Jens Stoltenberg at the Clinton Global Initiative in New York. The Global Campaign is supported by several governments, including the UK, Norway, Canada, France and Germany, as well as a number of prominent global health and advocacy organizations. It attaches special importance to the health of women and children, “whose needs remain the most neglected.” The Global Campaign brings together a number of related initiatives including: • The International Health Partnership, launched in London by UK Prime Minister Gordon Brown in September 2007, aims to help build national health systems in some of the poorest countries in the world. • The Catalytic Initiative to Save a Million Lives, launched by Canadian Prime Minister Stephen Harper in November 2007, aims to strengthen health systems by training frontline health workers and delivering affordable healthcare services directly to local communities. • Innovative Results-Based Financing, launched by Norway and the World Bank in November 2007, seeks the most cost-effective ways of obtaining better health outcomes.

• Women Deliver was launched in London in October 2007 to mark the 20th anniversary of global efforts to reduce high rates of maternal and newborn death and disability in the developing world – and to apply the knowledge gained from two decades of study and experience. The initiative aims to reframe maternal health as a basic human right and an integral strategy for achieving just development, reducing poverty and ensuring environmental sustainability. The organizing partner is Family Care International. • Saving Newborn Lives is a Save the Children project to improve newborn survival in high-mortality countries. Since its launch in 2000, the initiative has reached more than 20 million mothers and babies with critical health services in 18 countries in Asia, Africa and Latin America. • The White Ribbon Alliance for Safe Motherhood is an international coalition of individuals and organizations formed to promote safe pregnancy and childbirth for all women. Members of the Alliance take action in their own countries to make this issue a priority for their governments and other international organizations. • The Initiative for Maternal Mortality Programme Assessment (IMMPACT) is a global research initiative whose aim is to promote better health for mothers-to-be in developing countries. By carrying out studies of different strategies, and judging their effectiveness and the value for money they represent, IMMPACT aims to improve measurement and the supporting evidence that will help in the assessment of each strategy’s potential. • Countdown to 2015 was formed in 2005 by a group of scientists, policymakers, activists and institutions to track progress towards Millennium Development Goal 4. Coverage reports were made available at a conference for 60 priority countries for child survival initiatives. The second conference, held in April 2008, expanded the mandate of the Countdown to include maternal and neonatal survival, and the number of countries tracked in reports increased to 68. • Averting Maternal Death and Disability is a global programme run by the Mailman School of Public Health, Columbia University, New York, that contributes to reducing maternal mortality and morbidity through research, advocacy, policy analysis and programme support. In recent years, the programme has operated in around 50 countries across the developing world.

See References, page 112.

• Providing for Health Initiative, launched by Germany and France in 2008, aims to strengthen health systems by putting appropriate social health protection mechanisms in place with a view to achieving universal coverage.

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Greater political and institutional commitment to maternal and newborn health is being complemented by rising financial flows to these areas.

of labour between partners. Discussions on improving the divisions of labour across countries will begin in June 2009. • Increasing aid’s value for money by untying aid, promoting local and regional procurement, and respecting international agreements on corporate social responsibility. • Working with all development actors by recognizing the importance of South-South cooperation, encouraging developing countries to utilize their international cooperation programmes to assist other developing countries, and deepening triangular cooperation. Global funds and programmes are urged to support country ownership, align and harmonize their assistance, ensure mutual accountability and continue their focus on achieving results. • Deepening engagement with civil society organizations through inviting them to examine how they can apply the Paris Declaration principles to their own activities, engage in a multi-stakeholder process to promote their development effectiveness, and provide a supportive environment that enables them to optimize their contributions to development. • Adapting aid policies for countries in fragile situations through monitoring implementation of the Principles for Good International Engagement in Fragile States and Situations, conducting joint capa-

city and situation analysis, fostering collaboration between donors and national governments to formulate a set of practical objectives that can address the root causes of conflict and fragility, encouraging the participation of women, and working on flexible, rapid and long-term funding modalities.6 These actions are particularly relevant for global health partnerships because the health sector has been chosen by donors and partner countries to monitor progress on implementing the Paris Declaration. Steps are already being taken to strengthen and harmonize aid directed towards the health sector. Important advances include: a stronger focus on harmonized approaches,

capacity-building and result-based financing; compacts for mutual accountability in several countries; improvements in harmonization and alignment of aid; adoption of core principles of global health partnerships for operations at the country level; and the establishment of H8 and the International Health Partnership to ensure that aid interventions become more cohesive and comprehensive.7 Sustained engagement and refinement of the best-practice principles are steadily consolidating a framework for the actions of global health partnerships and a set of indicators of progress and targets that can be measured nationally and monitored internationally.

Figure 5.1

Key global health initiatives aimed at strengthening health systems and scaling up essential interventions

Strengthening Health Systems and Scaling Up for Better Health

International Health Partnership

Global Health Workforce Alliance

Catalytic Initiative to Save a Million Lives

Health Metrics Network

UN SG MDG Africa Initiative

GAVI Health Systems Strengthening

Innovative ResultsBased Financing

Global Fund National Strategy Applications

Providing for Health Initiative

Deliver Now for Women and Children

Harmonization for Health in Africa

Source: International Health Partnership, <www.internationalhealthpartnership.net/ihp_plus_ about_initiatives.html>, accessed 1 September 2008.

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© UNICEF/HQ07-0346/Christine Nesbitt

Deepening global political commitments and resources for better health outcomes

Investing resources at both national and international levels to train and retain skilled staff is vital to improving maternal and neonatal health. A measuring tape and a traditional fetal stethoscope lie on an examining table in a maternity ward that offers antenatal and neonatal services, as well as services to prevent mother-to-child transmission of the HIV virus, Nigeria.

Figure 5.2

Official development assistance for maternal and neonatal health has risen rapidly since 2004 4000 Total: 3,482

US$ (constant 2005), millions

3500

2,309

Total: 2,935

3000

Official development assistance for maternal and neonatal health

2,035

2500

2000

Total: 2,119 1,415

Total: 2,057 1,509

Official development assistance for child health

1500 1,173

1000 901 704 548

500

0

2003

2004

2005

At the 2008 G8 summit meeting, the issue of maternal mortality was discussed, and the Partnership for Maternal, Newborn and Child Health asked leaders to increase spending on maternal and child health care and family planning by US$10.2 billion per year.8 In parallel with the 2008 G8 Summit, a G8 Health Experts Group was established. The group set out principles for action, pledging to take comprehensive action to address the health-related Millennium Development Goals, and underlining the importance of both disease-specific initiatives and health-systems strengthening. It also emphasized the need for a longerterm perspective that extends beyond the 2015 MDG deadline, and the imperative of mobilizing a wide range of stakeholders.

2006

Source: Greco, Giulia, et al., 'Countdown to 2015: Assessment of donor assistance to maternal, newborn, and child health between 2003 and 2006', The Lancet, vol. 371, 12 April 2008, p. 1269.

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Measures to improve the quality of aid are being complemented by growing political commitment and higher financial flows directed at maternal and newborn health. Several years ago, issues of maternal and child health were rarely addressed by world leaders. Today, maternal and child health are on the agenda of world leaders and major conferences, including the G8.

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Action was pledged in five key areas: health systems strengthening;

Focus On

Partnering for mothers and newborns in the Central African Republic

The Central African Republic is among the world’s lowest income countries, with a gross national income per capita of US$360 in 2007. Located in the heart of the African continent, the country has endured a decade of conflict. The worst-affected regions are located in the northeast and northwest, where rebel groups and government forces frequently clash. This ongoing violence has resulted in mass displacement and disruption of public infrastructure such as health care services, especially in the northern region. Maternal and neonatal survival and health remain at risk from poverty and conflict. The lifetime risk of maternal death is 1 in 25, and UN inter-agency estimates put the country’s maternal mortality ratio at 980 maternal deaths per 100,000 live births in 2005. The neonatal mortality rate was 52 per 1,000 live births in 2004, above the West and Central Africa average of 44 per 1,000 – which itself was the highest regional aggregate for this indicator in the developing world. Only 53 per cent of women in the country are attended by a skilled health worker at delivery. Maternal and infant health is undermined by poor control of communicable diseases, insecurity and the lack of comprehensive maternal health programmes. Among other infectious diseases, tetanus is an important cause of neonatal death. Cases are prevalent in poor, remote and disenfranchised communities where unhygienic obstetric

maternal, newborn and child health; infectious diseases – including AIDS, tuberculosis, malaria, polio and neglected tropical diseases; promotion of a cross-sectoral approach – including the empowerment of women, reduction of gender inequalities and violence against women, and health; and resources. Developing countries were encouraged to allocate more of their own resources to health care, and the G8 reiterated its commitment to working towards the goal of providing at

and post-natal practices prevail and access to maternal tetanus toxoid immunization during pregnancy is poor. Despite the challenges posed by ongoing insecurity, international agencies are collaborating with the Government to tackle maternal and neonatal tetanus as part of a wider effort in support of maternal, newborn and child health. In January 2008, the Ministry of Health, together with the World Health Organization, the United Nations Population Fund and UNICEF, launched the Mother and Child Survival Campaign. The first phase of the campaign prioritized immunization, resulting in the vaccination of 700,000 women of reproductive age against tetanus. A second round of immunization was held in March, and the campaign is set to reach 1.5 million women and children across the country. The tetanus immunization campaign represents an important initial step in the drive to reduce maternal and neonatal deaths. The Central African Republic and its partners face the challenge of consolidating these gains and strengthening the health system to deliver maternity services and basic health-care interventions that can help improve maternal and newborn health. Enhancing security will also be pivotal to widening access to women and children.

See References, pages 112.

least US$60 billion for combating major infectious diseases and strengthening health systems.9 Disease-specific funds, such as the Global Fund to Fight AIDS, Tuberculosis and Malaria, the GAVI vaccine initiative and the US government’s AIDS and malaria programmes provide opportunities to leverage significant resources for maternal and newborn health, through stronger health systems and service provision. These funds contribute to better

trained health personnel, more reliable commodity supply systems, improved labs and diagnostics and more home and community based services, even as they focus on fighting specific diseases. The World Health Organization, UNICEF, the United Nations Population Fund and the World Bank have reinvigorated their commitment to improve maternal and newborn health (see Panel on page 102), and major global health partnerships and programmes are mobi-

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Financial flows for maternal, newborn and child health Greater political and institutional commitment to maternal newborn and child health is reflected in sharply rising aid flows to these areas. The latest estimates indicate that global

© UNICEF/HQ07-1493/Anita Khemka

lizing sizeable resources to support specific programmes and integrated approaches to health-service delivery. The increased political will and commitment evident in low-income, middle-income and donor countries to accelerate progress on maternal and child health is significantly enhancing collaboration and cooperation and creating a global compact.

Both community workers and trained medical staff have vital roles in ensuring the continuum of care that runs from the home and the community right through to the clinic and the hospital. A community health volunteer gives a pregnant woman vitamin A, iron and folic acid supplements, during a home visit, Nepal.

official development assistance to maternal, newborn and child health rose by 64 per cent between 2003 and 2006. Specifically, funds apportioned to child health rose by 63 per cent, while those assigned to maternal

and newborn health increased by 66 per cent. Disbursements for maternal, newborn and child health from GAVI and the Global Fund to Fight AIDS, Tuberculosis and Malaria rose by 200 per cent over the same period.

Figure 5.3

Nutrition, PMTCT and child health have seen substantial rises in financing Total ODA to maternal, newborn and child-specific health projects, 2006: 1,680 million

Total ODA to maternal, newborn and child-specific health projects, 2003: 1,193 million

PMTCT, 4 million (<1%) Child health, 41 million (3%) Nutrition, 113 million (10%)

IMCI, 16 million (1%) Non-specified MNCH, 49 million (4%)

PMTCT, 32 million (2%) Child health, 128 million, (8%)

IMCI, 7 million (<1%)

Nutrition, 223 million (13%) Maternal health/ Immunization, safe motherhood, 552 million (47%) 417 million (35%)

Maternal health/ safe motherhood, 346 million (21%)

Non-specified MNCH, 467 million (28%)

Immunization, 477 million (28%)

All figures in US$ (constant 2005)

Source: : Greco, Giulia, et al., 'Countdown to 2015: Assessment of donor assistance to maternal, newborn, and child health between 2003 and 2006', The Lancet, vol. 371, 12 April 2008, p. 1269.

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IMCI: Integrated Management of Childhood Illness MNCH: maternal newborn and child health PMTCT: prevention of mother-to-child transmission of HIV

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The opportunity to save the lives of thousands of women and millions of children lies within reach.

There remains ample scope to further increase resources directed to maternal and newborn health. Recent analysis of official development assistance (ODA) flow to these areas indicates that aid to maternal, newborn and child health-related activities accounted for just 3 per cent of gross ODA disbursements. Moreover, the funds apportioned to maternal and neonatal health activities are lagging behind those devoted to child health. Figures for 2006 indicate that global ODA to maternal and neonatal health reached US$1.2 billion, roughly half the sum apportioned to child health. While this represents a sharp increase since 2003, when global ODA for maternal

and newborn health stood at US$704 million, the 2006 figure translates into just US$12 per live birth. Research also shows that some countries experience sharp fluctuations in aid inflows to maternal, newborn and child health between years, complicating efforts for effective planning for strategic priorities in developing countries – particularly those where aid dependency is greatest. And despite recent enhancements in the frameworks for aid effectiveness and moves towards sector and budget support, the bulk of financing for maternal, newborn and child health is apportioned through project funding.

With the bulk of financing still going to support projects, funding of health system development – such as training, staffing, management and logistics, urgently required to accelerate progress on maternal and newborn health – remains limited in relative terms.10 Enhancing the predictability and sustainability of aid flows will be critical to ensuring that the progress achieved in maternal, newborn and child health is both maintained and deepened. Reduction of the transaction costs for national governments in their relations with global health partnerships and programmes must also be tackled, with implications

Figure 5.4

Financing for maternal, newborn and child health from global health initiatives has increased sharply in recent years Total ODA for maternal, newborn and child health, 2003: US$2,119 million

Total ODA for maternal, newborn and child health, 2006: US$3,482 million

Global: 172 million (8%) Global: 505 million (15%)

Bilateral: 1,296 million (61%)

Bilateral: 1,880 million (54%)

Multilateral: 651 million (31%)

Multilateral: 1,096 million (31%)

All figures in US$ (constant 2005)

Source: Greco, Giulia, et al., 'Countdown to 2015: Assessment of donor assistance to maternal, newborn, and child health between 2003 and 2006', The Lancet, vol. 371, 12 April 2008, p. 1269.

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UN agencies strengthen their collaboration in support of maternal and newborn health At the High Level Event on the Millennium Development Goals held in September 2008 at the UN General Assembly, the four major health agencies – the World Health Organization, UNICEF, United Nations Population Fund and the World Bank – made a joint declaration of their intent to intensify and harmonize their efforts towards Millennium Development Goal 5, the goal that has made the least progress. The main objective of this renewed commitment to collaborative action is to coordinate efforts at the country level and jointly raise the required resources. The four agencies pledged to strengthen support to countries with the highest levels of maternal mortality – especially the 25 countries with the most elevated maternal mortality ratios or numbers of maternal deaths. Based on their comparative advantage, core specialties and experience, and collective strengths, the agencies plan to jointly contribute to capacity building, health systems development and costing and financing of maternal, newborn and child health plans.

Strengthening national capacity The agencies will work with governments and civil society to enhance national capacity in the following ways: • Conduct needs assessment and ensure that health plans are MDG-driven and performance-based;

Core agency functions and responsibilities in the continuum of maternal and newborn care In an earlier document on joint country support for accelerated implementation of maternal and newborn continuum of care published in July 2008, the four agencies also pledged to work with governments to strengthen the continuum of maternal and newborn care. Based on their comparative advantages and expertise, the core functions to be undertaken by each agency were also specified: World Health Organization: policy, normative, research, monitoring & evaluation. United Nations Population Fund: reproductive health commodity security, support to implementation, human resources for sexual and reproductive health including maternal and newborn health, and technical assistance on building monitoring and evaluation capacity. UNICEF: financing, support to implementation, logistics & supplies, and monitoring & evaluation. World Bank: health financing, inclusion of maternal, newborn and child health in national development frameworks, strategic planning, investment in inputs for health systems, including fiduciary systems and governance, and taking successful programs to scale.

• Cost national plans and rapidly mobilize required resources; • Scale up quality health services to ensure universal access to reproductive health, especially for family planning, skilled attendance at delivery and emergency obstetric and newborn care, ensuring linkages with HIV prevention and treatment; • Address the urgent need for skilled health workers, particularly midwives; • Address financial barriers to access, especially for the poorest; • Tackle the root causes of maternal mortality and morbidity, including gender inequality, girls’ low access to education – particularly at the secondary level, child marriage and adolescent pregnancy;

In addition, focal agencies, or shared focal agencies, were identified for each component of the maternal and newborn continuum of care to ensure optimal support, accountability and enhanced coordination. The identification of agency responsibilities, outlined in Figure 5.5, does not preclude the involvement of other agencies in each area, but rather implies that the focal agency or agencies will coordinate the UN response to support the national health plan in that area. Furthermore, the work of each agency will continue to be guiding by the prevailing situation in each country, the existing strengths and experience of each agency within the country, and other contextual factors such as sector-wide approaches (SWAps) and other national health plans or compacts. In each case, the government will continue to lead and coordinate the process.

See References, page 112. • Strengthen monitoring and evaluation systems.

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Figure 5.5

Focal and partner agencies for each component of the continuum of maternal and newborn care and related functions Area

Focal agencies

Partners

Family planning

UNFPA, WHO

UNICEF, World Bank

Antenatal care

UNICEF, WHO

UNFPA, World Bank

Skilled attendance at birth

WHO, UNFPA

UNICEF, World Bank

Basic emergency obstetric and newborn care

UNFPA, UNICEF

WHO, World Bank

Comprehensive emergency obstetric and newborn care (C EmONC)

WHO, UNFPA

UNICEF, World Bank

Post-partum care

WHO, UNFPA

UNICEF, World Bank

Newborn care

WHO, UNICEF

UNFPA, World Bank

Maternal and neonatal nutrition

UNICEF, WHO, WB (for maternal nutrition)

UNFPA

Continuum of maternal and newborn care

Additional areas of maternal and newborn health work Girls’ education

UNICEF

UNFPA, World Bank

Gender/culture/male involvement

UNFPA, UNICEF

WHO, World Bank

Gender-based violence

UNFPA, UNICEF

WHO

Adolescent sexual reproductive health – young people

UNFPA, UNICEF, WHO

World Bank

Communication for development

UNFPA, UNICEF

WHO, World Bank

Obstetric fistula

UNFPA

WHO

Prevention of unsafe abortion/post abortion care

WHO

UNFPA

Female genital mutilation

UNFPA, UNICEF, WHO

World Bank

Maternal and newborn health in humanitarian situations

UNFPA, UNICEF, WHO

World Bank

Sexually transmitted infections

WHO

UNFPA, UNICEF

HIV/AIDS and integration with family planning

As per UNAIDS Technical Support Division of Labor

Pre-and-in-service training of human resources for MNH

WHO, UNFPA

UNICEF, World Bank

Regulations/legislation for human resources for health

WHO

UNFPA, UNICEF, World Bank

Essential drug list

WHO

UNFPA, UNICEF

Road maps’ development and implementation

WHO, UNFPA, WB

UNICEF

Source: WHO-UNFPA-UNICEF-World Bank Joint Country Support for Accelerated Implementation of Maternal and Newborn Continuum of Care, 22 July 2008.

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for further streamlining and harmonization of aid and technical assistance. Attention must also be paid to the need for sustainable, predictable, flexible resources to support the long-term recurrent costs of health provision, such as salaries, and for governments to create fiscal space for health in their budgets. Further, other sectors that have a direct impact on access to maternal and newborn health care – such as transportation – must also be given due consideration in initiatives to develop sustainable health systems. These challenges are not insurmountable. But they will require commitment on behalf of all key partners to work together to meet obligations to mothers, newborns and children. A focus on evidence and results must drive efforts. The Millennium Development Goals provide a firm reference point for action in the coming years. Achieving the goals will require building firm links between all contributing partners – national governments, donors, global health partnerships and programmes, international agencies, civil society organizations, the private sector, and communities and families themselves. The marked progress already achieved in recent years in strengthening collaboration and focusing on results

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provides hope for greater gains in the years to 2015 and beyond.

Delivering for mothers and newborns In examining the global situation of mothers and newborns, and the diverse and sometimes complex tasks for improving their survival and health, it is possible to lose sight of the human side of the equation: the millions of women who face labour and delivery with trepidation, given the fact that this or subsequent pregnancies may result in their death or lifelong disfigurement, and that without adequate primary care, their newborn is also very likely to face death or illness. Looking at the situation of mothers since 1990 puts the toll of death into sharp focus. Assuming that roughly 500,000 women have died each year since the beginning of that period, around 10 million women in all have died from causes related to pregnancy and childbirth. The latest available estimates for newborn deaths place them at nearly 4 million a year. The tragedy is that most of these lives could have been saved with costeffective, proven interventions. This situation must not be allowed to continue. There is no need to wait for a scientific breakthrough or a

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new paradigm to illuminate the best way forward. The knowledge that can save millions of newborn and maternal lives is available; data and analysis are improving rapidly; the framework for action is set; the challenge of the Millennium Development Goals is clear. The opportunity to save the lives of thousands of women and millions of children lies within reach. Efforts now must focus on ensuring that the human and financial resources, the political will, and the commitment and collaboration increasingly evident nationally and internationally all remain dedicated to the task of improving the health and survival of mothers and newborns.

Enhancing health information systems: The Health Metrics Network Sound information is essential to public health decisions. It informs policy, programmes, budgets and evaluation and forms the basis of accountability for governments’ commitments to their citizens. In many developing countries, however, underinvestment in health information systems has left gaps in data collection, dissemination and analysis. With health challenges on the rise, and the deadline for the health-related Millennium Development Goals drawing ever closer, fulfilling the demand for sound information is imperative. The Health Metrics Network (HMN) is an international partnership between developing countries, international agencies, foundations, global health partnerships and technical experts that aims to strengthen health information systems. Such systems incorporate all the multiple subsystems and data sources that, taken together, contribute to generating health information: vital registration, censuses and surveys, disease surveillance and response, service statistics and health management information, financial data and resource tracking. In line with current trends in health-system development, HMN seeks to broaden the base of health information and statistical systems beyond specific diseases and to foster leadership in the production and use of health information at the national level. These objectives require enhanced coordination and cooperation between countries and international partners, and a harmonized plan to develop health information systems. A further aim of HMN is to focus donor participation on a unified, country-owned plan to develop health information systems, thereby reducing duplication, fragmentation and overlap. Central to the harmonized plan is the development of the Framework and Standards for Country Health Information Systems – known as the HMN Framework – which the

partnership intends to set as the universal paradigm for data collection, reporting and usage by 2011. At the core of the framework is the HMN tool, a standardized questionnaire with which country stakeholders assess the current status of the health information against specific criteria. The tool provides a gauge of baseline status, critical gaps in health information results, processes, context and resources, and an assessment of performance and achievements. Countries receiving technical and financial assistance from the partnership are required to undergo an assessment using the HMN tool. The purpose of the HMN Framework is twofold: to target investment on the standardization of health information, and to enhance access and, by extension, usage of better health information at the national and international levels. Rather than seeking to replace existing guidelines on health systems information, the HMN framework seeks to build on appropriate standards and promote best practices. The process is envisaged as a dynamic one, which will evolve through the incorporation of better evidence and wider experience. In addition to developing the dynamic framework, the HMN has two related objectives: to deepen health information systems through providing technical and catalytic financial support to implement the HMN Framework; and to broaden access, dissemination and usage of health information by stakeholders at all levels. The partnership is based on a single and sound premise: It is not because countries are poor that they cannot afford good health information; it is because they are poor that they cannot afford to be without it.

See References, page 112.

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References CHAPTER 1 1

Wessel, Hans, et al., ‘Deaths among Women of Reproductive Age in Cape Verde: Causes and avoidability’, Acta Obstetricia et Gynecologica Scandinavica, vol. 78, no. 3, March 1999, pp. 225–232; Bartlett, Linda A., et al., ‘Where Giving Birth is a Forecast of Death: Maternal mortality in four districts of Afghanistan, 1999–2002’, The Lancet, vol. 365, no. 9462, 5–11 March 2005, pp. 864–870; Kilpatrick, Sarah J., et al., ‘Preventability of Maternal Deaths: Comparison between Zambian and American referral hospitals’, Obstetrics & Gynecology, vol. 100, 2002, pp. 321–326.

2

World Health Organization, Neonatal and Perinatal Mortality: Country, regional and global estimates 2004, WHO, Geneva, 2006, p. 4.

3

Derived from UNICEF global databases, 2008; World Health Organization, United Nations Children’s Fund, United Nations Population Fund and the World Bank, Maternal Mortality in 2005: Estimates developed by WHO, UNICEF, UNFPA and the World Bank, WHO, Geneva, 2007, p. 35.

4

5

6

7

8

Nanda, Geeta, Kimberly Switlick and Elizabeth Lule, Accelerating Progress towards Achieving the MDG to Improve Maternal Health: A collection of promising approaches, World Bank, Washington, D.C., April 2005, p. 4.

12

13

Ronsmans, Carine, and Wendy J. Graham, ‘Maternal Mortality: Who, when, where and why’, The Lancet, vol. 368, no. 9542, 30 September 2006, p. 1195.

14

Black, Robert E., et al., ‘Maternal and Child Undernutrition: Global and regional exposures and health consequences, The Lancet, vol. 371, no. 9608, 19 January 2008, pp. 243–244; World Health Organization, Adolescent Pregnancy: Unmet needs and undone deeds – A review of the literature and programmes, WHO, Geneva, 2007, pp. 19–20.

15

Center for Disease Control and Prevention, ‘Trends in Wheat-Flour Fortification with Folic Acid and Iron – Worldwide, 2004 and 2007’, Morbidity and Mortality Weekly Report, vol. 57, no. 1, 11 January 2008, pp. 8–10.

16

Allen, Lindsay H., and Stuart R. Gillespie, ‘What Works? A Review of the Efficacy and Effectiveness of Nutrition Interventions’, ACC/SCN Nutrition Policy Paper No. 19/ADB Nutrition and Development Series No. 5, Asian Development Bank with the UN Administrative Committee on Coordination Sub-Committee on Nutrition (ACC/SCN), Manila, 2001, pp. 56, 59.

Fishman, Steven M., et al., ‘Childhood and maternal underweight’, Chapter 2 in Comparative Quantification of Health Risks: Global and regional burden of disease attributable to selected major risk factors, edited by Majid Ezzati et al., World Health Organization, Geneva, 2004, pp. 84–86. Barlett, Linda A. et al., ‘Where Giving Birth is a Forecast of Death: Maternal mortality in four districts of Afghanistan, 1999–2002’, The Lancet, vol. 365, no. 9462, 5–11 March 2005, p. 868. World Health Organization, United Nations Children’s Fund, United Nations Population Fund and the World Bank, Maternal Mortality in 2005: Estimates developed by WHO, UNICEF, UNFPA and the World Bank, WHO, Geneva, 2007, pp. 3–8, 35. Figures derived from United Nations Children’s Fund, Progress for Children: A report card on maternal mortality, Number 7, UNICEF, New York, September 2008, pp. 42–45; World Health Organization, United Nations Children’s Fund, United Nations Population Fund and the World Bank, Maternal Mortality in 2005: Estimates developed by WHO, UNICEF, UNFPA and the World Bank, WHO, Geneva, 2007, pp. 23–27, 35.

9

World Health Organization, Neonatal and Perinatal Mortality: Country, regional and global estimates 2004, WHO, Geneva, 2006, p. 2.

10

Lawn, Joy E., Simon Cousens and Jelka Zupan, ‘4 Million Neonatal Deaths: When? where? why?’, The Lancet, vol. 365, no. 9462, 5 March 2005, pp. 891–892.

11

UNICEF estimates based on data from World Health Organization, Neonatal and Perinatal Mortality: Country, regional and global estimates 2004, WHO, Geneva, 2006.

106

Ronsmans, Carine, and Wendy J. Graham, ‘Maternal Mortality: Who, when, where and why’, The Lancet, vol. 368, no. 9542, 30 September 2006, p. 1193; Li, X.F., et al., ‘The Postpartum Period: The key to maternal mortality’, International Journal of Gynecology & Obstetrics, vol. 54, no. 1, 1996, pp. 1–10; World Health Organization, World Health Report 2005: Make every mother and child count, WHO, Geneva, 2005, pp. 10, 62.

17

World Health Organization, The World Health Report 2005: Make every mother and child count, WHO, Geneva, 2005, p. 44; United Nations Children’s Fund, Progress for Children: A report card on maternal mortality, Number 7, UNICEF, New York, September 2008, p. 6.

18

Ronsmans, Carine, and Wendy J. Graham, ‘Maternal Mortality: Who, when, where and why’, The Lancet, vol. 368, no. 9542, 30 September 2006, pp. 1194–1195.

19

Brahmbhatt, Heena, et al., ‘Association of HIV and Malaria with Mother-to-Child Transmission, Birth Outcomes, and Child Mortality’, Journal of Acquired Immune Deficiency Syndromes, vol. 47, no. 4, 1 April 2008, p. 475.

20

United Nations Children’s Fund, Progress for Children: A report card on maternal mortality, Number 7, UNICEF, New York, September 2008, p. 6; World Health Organization, Adolescent Pregnancy: Unmet needs and undone deeds – A review of literature and programmes, WHO, Geneva, 2007, pp. 19–20; Gunasekera, Prasanna, Junko Sazaki and Godfrey Walker, ‘Pelvic Organ Prolapse: Don’t forget developing countries’, The Lancet, vol. 369, no. 9575, 26 May 2007, pp. 1789–1790.

21

Lawn, Joy E., Simon Cousens and Jelka Zupan, ‘4 Million Neonatal Deaths: When? Where? Why?’, The Lancet, vol. 365, no. 9462, 5 March 2005, pp. 894–895; Desai, Meghna, et al., ‘Epidemiology and Burden of Malaria in Pregnancy’, The Lancet

T H E S TAT E O F T H E W O R L D ’ S C H I L D R E N 2 0 0 9

Infectious Diseases, vol. 7, no. 2, February 2007, pp. 96–97. 22

Bang, Abhay, M. H. Reddy and M. D. Deshmukh, ‘Child Mortality in Maharashtra’, Economic and Political Weekly, vol. 37, no. 49, 7 December 2002, pp. 4947–4965; Black, Robert E., et al., ‘Maternal and Child Undernutrition: Global and regional exposures and health consequences, The Lancet, vol. 371, no. 9608, 19 January 2008, pp. 243–244.

23

Desai, Meghna, et al., ‘Epidemiology and Burden of Malaria in Pregnancy’, The Lancet Infectious Diseases, vol. 7, no. 2, February 2007, pp. 96–97.

24

Setty-Venugopal, Vidya, and Ushma D. Upadhyay, ‘Birth Spacing: Three to five saves lives’, Population Reports, Series L, no. 13, Johns Hopkins University Bloomberg School of Public Health, Population Information Program, Baltimore, 2002, p. 1.

25

World Health Organization, World Health Report 2005: Make every mother and child count, WHO, Geneva, 2005, p. 10; JHPIEGO, Best Practices: Detecting and treating newborn asphyxia, JHPIEGO, 2004, , accessed 31 August 2008.

26

Lawn, Joy E., Simon Cousens and Jelka Zupan, ‘4 Million Neonatal Deaths: When? where? why?’, The Lancet, vol. 365, no. 9462, 5 March 2005, p. 896.

27

Lawn, Joy E., et al., ‘Newborn Survival’, Chapter 27 in Disease Control Priorities in Developing Countries, 2nd ed., edited by Dean T. Jamison, et al., Oxford University Press and the World Bank, Washington, D.C., 2006, p. 534.

28

Adapted from United Nations Children’s Fund, Progress for Children: A report card on maternal mortality, Number 7, UNICEF, New York, September 2008, pp. 37–38; Kerber, Kate J., et al., ‘Continuum of Care for Maternal, Newborn and Child Health: From slogan to service delivery’, The Lancet, vol. 370, no. 9595, 13 October 2007, pp. 1358–1369; Bryce, Jennifer, and J. H. Requejo, Tracking Progress in Maternal, Newborn & Child Survival: The 2008 report, Countdown to 2015, United Nations Children’s Fund, New York, 2008, pp. 41–48.

29

The World Bank’s definition of fragile states covers low-income countries scoring 3.2 and below on the Country Policy and Institutional Assessment (CPIA). The list of fragile states is updated annually, based on the computation of the countries’ individual CPIAs. For further details of the definition see, Global Monitoring Report 2007: Confronting the challenges of gender equality and fragile states, World Bank, Washington D.C., 2007, p. 40. For the countries and territories on the World Bank’s International Development Association list for fiscal year 2007, see , accessed 30 August 2008.

30

United Nations Millennium Project, Investing in Development: A practical plan to achieve the Millennium Development Goals, Earthscan, London/Sterling, VA, 2005, pp. 113, 188.

CHAPTER 1 PANELS Challenges in measuring maternal deaths World Health Organization, United Nations Children’s Fund, United Nations Population Fund and the World Bank, Maternal Mortality in 2005: Estimates developed by WHO, UNICEF, UNFPA, and the World Bank, WHO, Geneva, 2007, pp. 1–10.

2

Kerber, Kate, et al., ‘Continuum of Care for Maternal, Newborn and Child Health: From slogan to service delivery,’ The Lancet, vol. 370, no. 9595, 13 October 2007, pp. 1358–1369.

3

United Nations Children’s Fund, The State of the World’s Children 2008, UNICEF, New York, January 2008, pp. 39–41, 63–64.

Creating a supportive environment for mothers and newborns Gill, Kirrin, Rohini Pande and Anju Malhotra, ‘Women Deliver for Development: Executive Summary’, Family Care International, New York, 2007, p. 1; United Nations, The Millennium Development Goals Report 2007, UN, New York, 2007, p. 17.

4

Maternal and newborn health in Nigeria: Developing strategies to accelerate progress United Nations Population Fund/Engender Health, Obstetric Fistula Needs Assessment Report: Findings from nine African countries, UNFPA/Engender Health, New York, 2003, p. 57–58; World Health Organization, Neonatal and Perinatal Mortality: Country, regional and global estimates 2004, WHO, Geneva, 2006, p. 11; Wall, L. Lewis, ‘Dead Mothers and Injured Wives: The social context of maternal morbidity and mortality among the Hausa of northern Nigeria’, Studies in Family Planning, vol. 29, no. 4, December 1998, p. 350.

5

World Bank, Education and Development, World Bank, Washington, D.C., 2002, p. 20.

6

United Nations, Universal Declaration of Human Rights, Article 26, UN, New York, 1948; United Nations, Convention on the Rights of the Child, Article 28, UN, New York, 1989.

7

United Nations Children’s Fund, Progress for Children: A World Fit for Children Statistical Review, Number 6, UNICEF, New York, December 2007, pp. 16, 35.

Expanding Millennium Development Goal 5: Universal access to reproductive health by 2015 Glasier, A., et al., ‘Sexual and Reproductive Health: A matter of life and death’, The Lancet, vol. 368, no. 9547, 4 November 2006, p. 1595; derived from United Nations Population Fund, The State of World Population 2004: The Cairo consensus at ten – Population, reproductive health and the global effort to end poverty, UNFPA, New York, 2004, pp. 4–7, 12. Prioritizing maternal health in Sri Lanka UNICEF Sri Lanka, Annual Report 2007, Colombo, 2008, pp.7–8; Padmanathan, Indra, et al., Investing in Maternal Health: Learning from Malaysia and Sri Lanka, Washington, D.C., World Bank, 2003, pp. 1–3, 107, 110, 114, 116–117, 122, 131. The global food crisis and its potential impact on maternal and newborn health Food and Agricultural Organization of the United Nations, Soaring Food Prices: Facts, perspectives, impacts and actions required, FAO, Rome, June 2008, pp. 2–4, 17; Young, Helen, et al., ‘Public Nutrition in Complex Emergencies’, The Lancet, vol. 364, no. 9448, 20 November 2004, p. 1899; United Nations High Commissioner for Refugees, United Nations Children’s Fund, World Food Programme and World Health Organization, Food and Nutrition Needs in Emergencies, UNHCR/UNICEF/ WFP/WHO, p. 21; Food and Agriculture Organization of the United Nations, The Global Information and Early Warning System on Food and Agriculture, , accessed 1 August 2008.

CHAPTER 2 1

World Health Organization, Ouagadougou Declaration on Primary Health Care and Health Systems in Africa: Achieving better health for Africa in the New Millennium, WHO, Geneva, April 2008, p. 1.

8

9

Lawn, Joy E., Simon Cousens and Jelka Zupan, ‘4 Million Neonatal Deaths: When? Where? Why?’, The Lancet, vol. 365, no. 9462, 5 March 2005, pp. 894–895; Black, Robert E., et al., ‘Maternal and Child Undernutrition: Global and regional exposures and health consequences, The Lancet, vol. 371, no. 9608, 19 January 2008, pp. 245–248.

Lloyd, Cynthia B., ‘Schooling and Adolescent Reproductive Behavior in Developing Countries’, background paper to Public Choices, Private Decisions: Sexual and Reproductive Health and the Millennium Development Goals, United Nations Millennium Project, New York, 2006.

19

World Health Organization, Eliminating Female Genital Mutilation: An interagency statement – OHCHR, UNAIDS, UNDP, UNECA, UNESCO, UNFPA, UNHCR, UNICEF, UNIFEM, WHO, WHO, Geneva, 2008, p. 11.

20

TOSTAN, 2006 Annual Report, pp. 12–16.

21

World Health Organization, summary report, WHO Multi-country Study on Women’s Health and Domestic Violence against Women: Initial results on prevalence, health outcomes and women’s responses, WHO, Geneva, 2005, p. 22.

22

Ganatra, B.R., K.J. Coyaji and V.N. Rao, ‘ Too far, too little, too late: A community-based case-control study of maternal mortality in rural west Maharashtra, India’, Bulletin of the World Health Organization, vol. 76, no. 6, 1998, pp. 591–598.

23

Vlachova, Marie, and Lea Biason, Women in an Insecure World: Violence against women – Facts, figures and analysis, Geneva Centre for the Democratic Control of Armed Forces, Geneva, 2005, pp. 15–16.

24

United Nations Children’s Fund, Progress for Children: A report card on maternal mortality, Number 7, UNICEF, New York, September 2008, p. 12; and United Nations, In-depth Study on All Forms of Violence against Women: Report of the Secretary-General, UN, New York, 2006, p. 49.

25

Leung W.C., et al., ‘Pregnancy outcome following domestic violence in a Chinese community’, International Journal of Gynecology and Obstetrics, vol. 72, no. 1, January 2001, pp. 79–80; and Valladares, Eliette M., et al., ‘Physical Partner Abuse During Pregnancy: A risk factor for low birth weight in Nicaragua’, Obstetrics & Gynecology, vol. 100, no. 4, October 2002, pp. 700–705.

26

United Nations, In-depth Study on All Forms of Violence against Women: Report of the SecretaryGeneral, UN, New York, 2006, p. 49.

27

Campbell, Jacquelyn C., ‘Health consequences of intimate partner violence’, The Lancet, vol. 359, no. 9314, April 2002, pp. 1331–1336.

28

Åsling-Monemi, Kajsa, et al., ‘Violence against Women Increases the Risk of Infant and Child Mortality: A case-referent study from Nicaragua’, Bulletin of the World Health Organization, vol. 81, no. 1, 2003, pp. 10–16.

29

United Nations Children’s Fund, The State of the World’s Children 2007, UNICEF, New York, 2006, pp. 17–18.

30

Ibid, pp. 23–28.

31

Desai, Sonalde, and Kiersten Johnson, ‘Women’s Decisionmaking and Child Health: Familial and social hierarchies‘, in Sunitor Kishor, ed., A Focus on Gender: Collected papers on gender using DHS data, ORC Macro and Measure DHS, Maryland, USA, 2005, p. 66.

32

Smith, Lisa C., et al., The Importance of Women’s Status for Child Nutrition in Developing Countries, research report 131, International Food Policy Research Institute, Washington, D.C., 2003, pp. xi–xii, 8–14.

33

Quisumbing, Agnes R., ed., Household Decisions, Gender, and Development: A synthesis of recent

Rowbottom, Sara, Giving Girls Today and Tomorrow: Breaking the cycle of adolescent pregnancy, United Nations Population Fund, New York, 2007, p. 2.

10

Ibid., p. 5.

11

United Nations Population Fund, The State of the World’s Population 2005: The promise of equality, gender equity, reproductive health and the millennium development goals, UNFPA, New York, 2005, pp. 34–38.

12

Ibid.

13

World Bank, Education and Development, World Bank, Washington D.C., 2002, p. 5.

14

United Nations Children’s Fund, Progress for Children: A World Fit for Children Statistical Review, Number 6, UNICEF, New York, December 2007, p. 45.

15

Derived from Statistical Table 9, pp. 150.

16

International Planned Parenthood Federation and the Forum on Marriage and the Rights of Women and Girls, Ending Child Marriage: A guide for global policy action, IPPF, London, September 2006, pp. 7, 11, 15.

17

United Nations Children’s Fund, Progress for Children: A World Fit for Children Statistical Review, Number 6, UNICEF, New York, 2007, p. 44.

18

World Health Organization, Female genital mutilation and obstetric outcome: WHO collaborative prospective study in six African countries, WHO, Geneva, 2006, p. 6.

REFERENCES

107

research, Johns Hopkins University Press for International Food Policy Research Institute, Washington, D.C., 2004, p. 118. 34

35

Data drawn from the Inter-Parliamentary Union database on ‘Women in National Parliaments’, <www.ipu.org/wmn-e/world.htm>, accessed July 2008. Data drawn from United Cities and Local Governments database on women in local decision making, <www.cities-localgovernments.org/uclg/ index.asp?pag=wldmstatistics.asp&type=&L=EN& pon=1>, accessed July 2008.

36

United Nations Development Fund for Women, Progress of Arab Women 2004, UNIFEM Arab States Regional Office, Amman, 2004, p. 62.

37

United Nations Children’s Fund, ‘National Situational Analysis of Children and Women’, UNICEF Mozambique, 2006; United Nations Development Fund for Women, Progress of Arab Women 2004, UNIFEM Arab States Regional Office, Amman, p. 62.

38

Cowan, Carolyn Pape, et al., ‘Encouraging strong relationships between fathers and children’, Working Strategies, vol. 8, no. 4, Summer 2005, p. 2.

CHAPTER 2 PANELS Primary health care: 30 years since Alma-Ata Chan, Margaret, ‘Address to the 61st World Health Assembly’, WHO, Geneva, 19 May 2008; International Declaration of Alma-Ata, 1978; United Nations, ‘Resolutions adopted by the General Assembly during its Sixth Special Session’, 9 April–2 May 1974, Supplement No. 1 (A/9559), pp. 3–5; Thieren, Michel, ‘Background paper on the concept of universal access’, prepared for the Technical Meeting for the Development of a Framework for Universal Access to HIV/AIDS Prevention, Treatment and Care in the Health Sector’, WHO, Geneva, 18–20 October 2005; Haines, Andy, Richard Horton and Zulfiqar Bhutta, ‘Primary Health Care Comes of Age: Looking forward to the 30th anniversary of Alma-Ata – A call for papers,’ The Lancet, vol. 370, no. 9591, 15 September 2007, pp. 911–913. Addressing the health worker shortage: A critical action for improving maternal and newborn health World Health Organization, World Health Report 2006: Working together for health, WHO, Geneva, 2006, pp. 8–12, 24, 99–101; Koblinsky, Marge, et al., ‘Going to scale with professional skilled care’, The Lancet, vol. 368, no. 9544, pp. 1377–1386; Tawfik, Linda, ‘The impact of HIV/AIDS on the health workforce in developing countries’, background paper for the World Health Report 2006: Working together for health, WHO, Geneva, 2006, p. 8; Physicians for Human Rights, An Action Plan to Prevent Brain Drain: Building Equitable Health Systems in Africa, PHR, Boston, 2004; Shisana, Olive, et al., ‘HIV/AIDS Prevalence Among South African Health Workers’, South African Medical Journal, vol. 94, no. 10, 2004, pp. 846–850, cited in Freedman, Lynn P., et al., Child Health and Maternal Health: Who’s Got the Power? Transforming health systems for women and children, Task Force on Child Health and Maternal Health, UN Millennium Project, UNDP, 2005, p. 122.

108

Towards greater equity in health for mothers and newborns Gwatkin, Davidson R., et al., Socio-Economic Differences in Health, Nutrition, and Population within Developing Countries: An overview, Health, Nutrition and Population, World Bank, Washington, D.C., September 2007, pp. 123–124; Fotso, JeanChristophe, ‘Child Health Inequities in Developing Countries: Differences across urban and rural areas’, International Journal for Equity in Health, vol. 5, no. 9, 2006; Countdown 2008 Equity Analysis Group et al., ‘Mind the Gap: Equity and trends in coverage of maternal, newborn and child health services in 54 Countdown countries’, The Lancet, vol. 371, no. 9620, 12 April 2008, pp. 1259–1269; Victora, Cesar G., et al., ‘Explaining Trends in Inequities: Evidence from Brazilian child health studies’, The Lancet, vol. 356, no. 9235, pp. 1093–1098; Kerber, Kate J., ‘The Continuum of Care for Maternal, Newborn and Child Health: Coverage, co-coverage and equity analysis from Demographic and Health Surveys’, Faculty of Health Sciences, University of Cape Town (unpublished), 2007, pp. 16, 23–40. Adapting maternity services to the cultures of rural Peru Countdown Coverage Writing Group et al., ‘Countdown to 2015 for Maternal, Newborn and Child Survival: The 2008 report on tracking coverage of interventions’, The Lancet, vol. 371, no. 9620, 12 April 2008, pp. 1254–1255; World Health Organization, Maternal Mortality in 2005: Estimates developed by WHO, UNICEF, UNFPA and the World Bank, WHO, Geneva, 2007, p. 26; Pan American Health Organization, Gender, Health and Development in the Americas 2003, PAHO and Population Reference Bureau, 2003; and information supplied by UNICEF Peru. Southern Sudan: After the peace, a new battle against maternal mortality Central Bureau of Statistics and Southern Sudan Commission for Census, Statistics and Evaluation, Sudan Household Health Survey 2006, CBS and SSCCSE, Khartoum, pp. 43, 161, 164, 178; United Nations Population Fund Sudan Country Office, Annual Report 2006, UNFPA Sudan, pp. 3–4; and information provided by UNICEF Sudan.

6

Ibid., p. 249.

7

Joint United Nations Programme on HIV/AIDS, Report on the Global AIDS Epidemic 2008, UNAIDS, Geneva, 2008, p. 30.

8

Briand, Valérie, et al., ‘Intermittent preventive treatment for the prevention of malaria during pregnancy in high transmission areas’, Malaria Journal, vol. 6, no. 1, 2007, p. 160.

9

World Health Organization and United Nations Children’s Fund, Antenatal Care in Developing Countries: Promises, achievements and missed opportunities – An analysis of trends, levels and differentials, 1990–2001, WHO, Geneva, 2003, p. 2.

10

United Nations Children’s Fund, Progress for Children: A report card on maternal mortality, Number 7, UNICEF, New York, September 2008, p. 44.

11

World Health Organization, World Health Report 2005: Make every mother and child count, WHO, Geneva, 2005, pp.10, 62.

12

United Nations Children’s Fund, Progress for Children: A report card on maternal mortality, Number 7, UNICEF, New York, September 2008, p. 44.

13

Paul, Vinod K., ‘Meeting MDG 5: Good news from India,’ The Lancet, vol. 369, no. 9561, 17 February 2007, p. 558; Chatterjee, Patralekha, ‘India addresses maternal deaths in rural areas’, The Lancet, vol. 370, no. 9592, 22 September 2007, pp. 1023–1024.

14

United Nations Children’s Fund, Progress for Children: A report card on maternal mortality, Number 7, UNICEF, New York, September 2008, p. 9.

15

World Health Organization, Postpartum care of the mother and newborn: A practical guide, WHO, Geneva, 1998, p. 17.

16

United Nations Children’s Fund, Progress for Children: A report card on maternal mortality, Number 7, UNICEF, New York, September 2008, pp. 11, 44.

17

Olsen, Øystein Evjen, Sidney Ndeki and Ole Frithjof Norheim, ‘Availability, distribution and use of emergency obstetric care in northern Tanzania’, Health Policy and Planning, vol. 20, no. 3, 2005, pp. 171–173.

18

World Health Organization, Postpartum care of the mother and newborn: A practical guide, WHO, Geneva, 1998, p. 2; World Health Organization, World Health Report 2005: Make every mother and child count, WHO, Geneva, 2005, pp. 62, 73–74.

19

Kerber, Kate J., et al., ‘Continuum of Care for Maternal, Newborn and Child Health: From slogan to service delivery’, The Lancet, vol. 370, no. 9595, 13 October 2007, p. 1366.

20

World Health Organization, World Health Report 2005: Make every mother and child count, WHO, Geneva, 2005, pp. 73–74.

21

Prince, Martin, et al., ‘No health without mental health’, The Lancet, vol. 370, no. 9595, 8 September 2007, pp. 867–8.

CHAPTER 3 1

Kerber, Kate J., et al., ‘Continuum of Care for Maternal, Newborn and Child Health: From slogan to service delivery’, The Lancet, vol. 370, no. 9595, 13 October 2007, pp. 1358–1369.

2

Glasier, Anna, et al., ‘Sexual and Reproductive Health: A matter of life and death,’ The Lancet, vol. 368, no. 9547, 4 November 2006, p. 1602.

3

Joint United Nations Programme on HIV/AIDS, Report on the Global AIDS Epidemic 2008, UNAIDS, Geneva, 2008, p. 33.

4

World Health Organization, Reproductive Health Strategy to Accelerate Progress towards the Attainment of International Development Goals and Targets, WHO, Geneva, 2004, pp. 26–30.

5

Black, Robert E., et al., ‘Maternal and Child Undernutrition: Global and regional exposures and health consequences’, The Lancet, vol. 371, no. 9608, 19 January 2008, p. 244.

T H E S TAT E O F T H E W O R L D ’ S C H I L D R E N 2 0 0 9

22

Knippenberg, R., et al., ‘Systematic scaling up of neonatal care in countries’, The Lancet, vol. 365, no. 9464, 19 March 2005, pp. 1088–1089; Countdown Coverage Writing Group et al., ‘Countdown to 2015 for Maternal, Newborn and Child Survival: The 2008 report on tracking coverage of interventions, The Lancet, vol. 371, no. 9620, 12 April 2008, p. 1256.

23

Derived from Statistical Table 8, page 149.

24

Declaration of Alma-Ata, articles 6–8, International Conference on Primary Health Care, Alma-Ata, USSR, 1978; Haines, Andy, et al., ‘Achieving Child Survival Goals: Potential contribution of community health workers’, The Lancet, vol. 369, no. 9579, 23 June 2007, p. 2121.

25

Haines, Andy, et al., ‘Achieving child survival goals: Potential contribution of community health workers’, The Lancet; vol. 369, no. 9579, 23 June 2007, p. 2123.

26

Freedman, Lynn P., et al., Child Health and Maternal Health: Who’s got the power? Transforming health systems for women and children, Task Force on Child Health and Maternal Health, UN Millennium Project, UNDP, 2005, p. 65.

27

Kerber, Kate J., et al., ‘Continuum of Care for Maternal, Newborn and Child Health: From slogan to service delivery’, The Lancet, vol. 370, no. 9595, 13 October 2007, p. 1361.

28

Lawn, Joy, and Kate Kerber, eds., Opportunities for Africa’s Newborns: Practical data, policy and programmatic support for newborn care in Africa, Partnership for Maternal, Newborn and Child Health, Cape Town, 2006, p. 32.

29

Kerber, Kate J., et al., ‘Continuum of Care for Maternal, Newborn and Child Health: From slogan to service delivery’, The Lancet, vol. 370, no. 9595, 13 October 2007, p. 1364.

30

Ibid.

31

Lawn, Joy, and Kate Kerber, eds., Opportunities for Africa’s Newborns: Practical data, policy and programmatic support for newborn care in Africa, Partnership for Maternal, Newborn and Child Health, Cape Town, 2006, p. 33.

32

Bartlett, Linda A., et al., ‘Where Giving Birth Is a Forecast of Death: Maternal mortality in four districts of Afghanistan, 1999–2002’, The Lancet, vol. 365, no. 9462, 5 March 2005; pp. 864–870.

33

Paxton, A., et al., ‘Global patterns in availability of emergency obstetric care’, International Journal of Gynecology & Obstetrics, vol. 93, no. 3, 2006, pp. 300–307.

CHAPTER 3 PANELS Eliminating maternal and neonatal tetanus World Health Organization, Weekly epidemiological record, WHO, Geneva: nos. 20, 19 May 2006, pp. 198–208; 81, 31 March 2006, pp. 120–127; 44, 30 October 1987, pp. 332–335; 82, 29 June 2007, pp. 237–242; and 34, 22 August 2008, pp. 301–307; Roper, Martha H., Jos H. Vandelaer and François L. Gasse, ‘Maternal and neonatal tetanus’, The Lancet, vol. 370, no. 9603, 8 December 2007, pp. 1947–1959.

Hypertensive disorders; Common yet complex Khan, Khalid S., et al., ‘WHO Analysis of Causes of Maternal Death: A systematic review’, The Lancet, vol. 367, no. 9516, 1 April 2006, p. 1073; Podymow, Tiina, and Phyllis August, ‘Hypertension in pregnancy’, Advances in Chronic Kidney Disease, vol. 14, no. 2 , April 2007, pp. 178–179, 181; Hofmeyr, G.J., A.N. Attalah and L. Duley, ‘Calcium supplementation during pregnancy for preventing hypertensive disorders and related problems’, Cochrane Database of Systematic Reviews 2006, vol. 3, article no. CD001059; Bhutta, Zulfiqar A., et al., ‘What works? Interventions for maternal and child undernutrition and survival’, The Lancet, vol. 371, no. 9610, 2 February 2008, p. 431; Dolea, Carmen, and Carla AbouZahr, ‘Global burden of hypertensive disorders of pregnancy in the year 2000’, Global Burden of Disease 2000, World Health Organization, Geneva, 2003. The first 28 days of life Lawn, Joy E., Simon Cousens and Jelka Zupan, ‘4 million neonatal deaths: When? Where? Why?’, The Lancet, vol. 365, no. 9462, 5 March 2005, pp. 891–900; Lawn, Joy E., Kenji Shibuya and Claudia Stein, ‘No Cry at Birth: Global estimates of intrapartum stillbirths and intrapartum-related neonatal deaths’, Bulletin of the World Health Organization, vol. 83, no. 6, June 2005, pp. 409–17; Bang, Abhay T., et al., ‘Effect of Home-based Neonatal Care and Management of Sepsis on Neonatal Mortality: Field trial in rural India,’ The Lancet, vol. 354, no. 9194, 4 December 1999, pp. 1955–1961; Baqui, Abdullah H., et al., ‘Effect of Community-based Newborn-care Intervention Package Implemented through Two Service-delivery Strategies in Sylhet District, Bangladesh: A cluster-randomized controlled trial’, The Lancet , vol. 371, no. 9628, 7 June 2008, pp. 1936–1944; Manandhar, D.S., et al., ‘Effect of a Participatory Intervention with Women’s Groups on Birth Outcomes in Nepal: Cluster-randomized controlled trial, The Lancet, vol. 364, no. 9438, 11 September 2004, pp. 970– 979; Kumar, V., et al., ‘Effect of Community-based Behaviour Change Management on Neonatal Mortality in Shivgarh, Uttar Pradesh, India: A cluster-randomized controlled trial’, The Lancet, vol. 372, no. 9644, 27 September 2008, pp. 1151–1162; Bhutta, Zulfiqar A., et al., ‘Implementing Community-based Perinatal Care: Results from a pilot study in rural Pakistan, Bulletin of the World Health Organization, vol. 86, no. 6, June 2008, pp. 452–459; Kerber, Kate J., et al., ‘Continuum of Care for Maternal, Newborn and Child Health: From slogan to service delivery’, The Lancet, vol. 370, no. 9595, 13 October 2007, pp. 1358–1369; Bhutta, Zulfiqar A., et al., ‘Interventions to Address Maternal, Newborn and Child Survival: What difference can integrated primary health care strategies make?’, The Lancet, vol. 372, no. 9642, 13 September 2008, pp. 972–989; Bhutta, Zulfiqar A., et al., ‘Communitybased Interventions for Improving Perinatal and Neonatal Health Outcomes in Developing Countries: A review of the evidence’, Pediatrics, vol. 115, no. 2, February 2005, pp. 519–617; Haws, Rachel A., et al., ‘Impact of Packaged Interventions on Neonatal Health: A review of the evidence’, Health Policy and Planning, vol. 22, no. 4, 25 May 2007, pp. 193–215.

Midwifery in Afghanistan World Health Organization, United Nations Children’s Fund, United Nations Population Fund and the World Bank, Maternal Mortality in 2005: Estimates developed by WHO, UNICEF, UNFPA and The World Bank, WHO, Geneva, 2007, p. 23; United Nations Children’s Fund, Progress for Children: A report card on maternal mortality, Number 7, UNICEF, New York, September 2008, pp. 10, 43; UNICEF Regional Office for South Asia, Maternal and Neonatal Health Review in South Asia Region, 25 June 2008, pp. 67–68; Currie, Sheena, Pashtoon Azfar and Rebecca C. Fowler, ‘A bold new beginning for midwifery in Afghanistan’, Midwifery, vol. 23, no. 3, September 2007, pp. 226–234; Afghan Ministry of Public Health, Maternal Mortality in Afghanistan: Magnitude, causes, risk factors and preventability, Afghan Ministry of Public Health, Centers for Disease Control and Prevention and UNICEF, 6 November 2002, p. 4; and information supplied by UNICEF Afghanistan. Kangaroo mother care in Ghana Whitelaw, A., and K. Sleath, ‘Myth of the Marsupial Mother: Home care of very low birthweight babies in Bogota, Colombia’, The Lancet, vol. 1, no. 8439, 25 May 1985, pp. 1206–1208; Pattinson, Robert C., et al., ‘Implementation of Kangaroo Mother Care: A randomized trial of two outreach strategies’, Acta Paediatrica, vol. 94, no. 7, 2005, pp. 924–927; Bergh, A.-M., and Robert C. Pattinson, ‘Development of a Conceptual Tool for the Implementation of Kangaroo Mother Care’, Acta Paediatrica, vol. 92, no. 6, pp. 709–714; and information supplied by UNICEF Ghana. HIV/malaria co-infection in pregnancy Desai, Meghna, et al., ‘Epidemiology and Burden of Malaria in Pregnancy’, The Lancet Infectious Diseases, vol. 7, no. 2, February 2007, pp. 93–104; Ter Kuile, F.O., et al., ‘The Burden of Co-infection with HIV Type I and Malaria in Pregnant Women in Sub-Saharan Africa’, American Journal of Tropical Medicine and Hygiene, vol. 71, supplement 2, 2004, pp. 41–54; World Health Organization, ‘Malaria and HIV Interactions and their Implications for Public Health Policy’, WHO, Geneva, 2005, pp. 10–11; United Nations Children Fund, ‘Malaria and HIV Factsheet’, UNICEF Technical Note no. 6, February 2003, p. 2; World Health Organization, ‘Technical Expert Group Meeting on Intermittent Preventive Treatment in pregnancy (IPTp)’, Geneva, 2008, p. 4; World Health Organization, ‘Assessment of the Safety of Artemisinin Compounds in Pregnancy’, Geneva, 2003, p. 2. The challenges faced by adolescent girls in Liberia. Information supplied by UNICEF Liberia.

CHAPTER 4 1

Hill, K., et al., ‘Interim Measures for Meeting Needs for Health Sector Data: Births, deaths and causes of death’, The Lancet, vol. 370, no. 9600, 17 November 2007, pp. 1726–1735.

2

World Health Organization, Beyond the Numbers: Reviewing maternal deaths and complications to make pregnancy safer, WHO, Geneva, 2004, pp. 1–2.

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109

3

4

5

6

7

8

9

10

11

12

13

14

ICPD Programme of Action 1994–2004, UNFPA, New York, 2004, p. 45; World Health Organization, International Confederation of Midwives, and International Federation of Gynecology and Obstetrics, Making Pregnancy Safer: The critical role of the skilled attendant – A joint statement by WHO, ICM and FIGO, WHO, Geneva, 2004, p. 1; World Health Organization, Department of Reproductive Health and Research, ‘Proportion of Births Attended by Skilled Health Workers’, 2008 updates, WHO, Geneva, p. 3.

Measure Evaluation, ‘Measuring Maternal Mortality from a Census: Guidelines for potential users’, <www.cpc.unc.edu/measure/publications>, accessed 30 September 2008; World Health Organization, Verbal Autopsy: Ascertaining and attributing causes of death, WHO, Geneva, 2007, p. 6. Setel, P.W., et al., ‘Sample Registration of Vital Events with Verbal Autopsy: A renewed commitment to measuring and monitoring vital statistics, Bulletin of the World Health Organization, vol. 83, no. 8, 2005, pp. 611–617; Measure Evaluation, ‘Sample Registration of Vital Events with Verbal Autopsy’, <www.cpc.unc.edu/measure/tools/monitoring-evaluation-systems/savvy>, accessed 30 September 2008. World Health Organization, Beyond the Numbers: Reviewing maternal deaths and complications to make pregnancy safer, WHO, Geneva, 2004, pp. 106–107. US Centers for Disease Control and Prevention, ‘Updated Guidelines for Evaluating Public Health Surveillance Systems’, Morbidity and Mortality Weekly Report – Recommendations and Reports, vol. 50, no. RR13, CDC, Washington, D.C., 27 July 2001, pp. 1–35. United Nations Children’s Fund, World Health Organization and United Nations Population Fund, Guidelines for Monitoring the Availability and Use of Obstetric Services, UNICEF, August 1997; Averting Maternal Death and Disability Program, Averting Maternal Death and Disability Program Report, 1999–2005, Mailman School of Public Health, Columbia University, New York, October 2006, pp. 2–4. World Health Organization, Beyond the Numbers: Reviewing maternal deaths and complications to make pregnancy safer, WHO, Geneva, 2004, p. 4. Granja, A.C., F. Machungo and S. Bergstrom, ‘Avoidability of Maternal Death in Mozambique: Audit and retrospective risk assessment in 106 consecutive cases’, African Journal of Health Sciences, vol. 7, no. 3–4, July–December 2000, pp. 83–7. Blouse, A., P. Gomez and B. Kinzie, Site Assessment and Strengthening for Maternal and Newborn Health Programmes, JHPIEGO, Baltimore, 2004, pp. 1–42; EngenderHealth, COPE for Maternal Health Services: A process and tools for improving the quality of maternal health services, New York, 2001. Byass, Peter, et al., ‘Direct Data Capture Using Hand-held Computers in Rural Burkina Faso: Experienes, benefits and lessons learnt, Tropical Medicine and International Health, vol. 13, special issue 1, July 2008, p. 29. World Health Organization, World Health Report 2006: Working together for health, WHO, Geneva, 2006, p. 12. World Health Organization, World Health Report 2005: Make every mother and child count, WHO, Geneva, 2005, p. 96. United Nations Population Fund, Investing in People: National progress in implementing the

110

15

United Nations Children’s Fund and World Health Organization, Management of Sick Children by Community Health Workers, UNICEF/WHO, New York, January 2006, p. 7.

16

Ibid.

17

Derived from United Nations Children’s Fund, The State of the World’s Children 2008: Child survival, UNICEF, New York, January 2008, p. 77.

18

UNICEF Regional Office for South Asia, Maternal and Neonatal Health Review in the South Asia Region, 25 June 2008, p. 152.

19

Dambisya, Ysowa, ‘A Review of Non-financial Incentives for Health Worker Retention in Eastern and Southern Africa’, Regional Network for Equity in Health in East and Southern Africa, Discussion Paper no. 44, May 2007, p. 49.

20

Lawn, Joy E., and Kate J. Kerber, eds., Opportunities for Africa’s Newborns: Practical data, policy and programmatic support for newborn care in Africa, Partnership for Maternal, Newborn and Child Health, Cape Town, 2006, p. 73.

21

Vivar, Susana Camacho, ‘Ecuador Addresses Cultural Issues for Pregnant Women’, The Lancet, vol. 370, no. 9595, 13 October 2007, p. 1302.

22

Lawoyin, Taiwo, O, O.C Olushevi, and David A. Adewole, ‘Men’s Perception of Maternal Mortality in Nigeria’, Journal of Public Health Policy, vol. 28, no. 3, 2007, pp. 299–318.

23

Lawn, Joy E., and Kate J. Kerber, eds., Opportunities for Africa’s Newborns: Practical data, policy and programmatic support for newborn care in Africa, Partnership for Maternal, Newborn and Child Health, Cape Town, 2006, p. 87.

24

Bryce, Jennifer, and J.H. Requejo, Tracking Progress in Maternal, Newborn & Child Survival: The 2008 report, Countdown to 2015, United Nations Children’s Fund, New York, 2008, p. 44.

25

Data prepared by the Health Policies and Systems Development Unit, Health Systems Strengthening Area, Pan American Health Organization.

26

United Nations Economic and Social Commission, United Nations Economic Commission for Africa, African Union Commission, ‘Meeting Africa’s New Development Challenges in the 21st Century: Issues paper’, Addis Ababa, 21 March 2008, p. 13.

27

Borghi, J.O., et al., ‘Mobilizing Financial Resources for Maternal Health’, The Lancet, vol. 368, no. 21, October 2006, pp. 1457–1465.

28

Witter, Sophie, et al., ‘The Experience of Ghana in Implementing a User Fee Exemption Policy to Provide Free Delivery Care’, Reproductive Health Matters, vol. 15, no. 30, 2007, pp. 61–71; Borghi,

T H E S TAT E O F T H E W O R L D ’ S C H I L D R E N 2 0 0 9

J.O., et al., ‘Mobilizing Financial Resources for Health’, The Lancet, vol. 368, no. 21, October 2006, pp. 1457–1465. 29

Gilson, Lucy, and Di McIntyre, ‘Removing Fees for Primary Care in Africa: The need for careful action’, British Medical Journal, vol. 331, 2005, pp. 331, 762–765.

30

Borghi, J.O., et al., ‘Mobilizing Financial Resources for Health’, The Lancet, vol. 368, no. 21, October 2006, pp. 1457–1465; Deininger, K., and P. Mpuga, Economic and Welfare Effects of the Abolition of Health User Fees: Evidence from Uganda, World Bank policy research working paper no. 3276, Washington, D.C., 2004; Nabyonga, J., et al., ‘Abolition of Cost-sharing Is Pro-poor: Evidence from Uganda’, Health Policy Plan, vol. 20, pp. 100–108.

31

Borghi, J.O., et al., ‘Mobilizing Financial Resources for Health’, The Lancet, vol. 368, no. 21, October 2006, pp. 1457–1465; Gilson, Lucy, and Di McIntyre, ‘Removing User Fees for Primary Care in Africa: The need for careful action’, British Medical Journal, vol. 331, 1 October 2005, pp. 762–765.

32

Gilson, Lucy, and Di McIntyre, ‘Removing User Fees for Primary Care in Africa: The need for careful action, British Medical Journal, vol. 331, 1 October 2005, pp. 762–765.

33

Dmytraczenko, T., et al., Evaluacion del Seguro Nacional de Maternidad y Ninez en Bolivia, Partnerships for Health Reform, Abt Associates, Bethesda, Maryland, 1998; Borghi, J.O., et al., ‘Mobilizing Financial Resources for Maternal Health’, The Lancet, vol. 368, no. 9545, 21 October 2006, pp. 1457–1465.

34

Schneider, P., et al., Utilization, Cost and Financing of District Health Services in Rwanda, Partnerships for Health Reform, Abt Associates, Bethesda, Maryland, March 2001; Fox-Rushby, J.A., ‘Costeffectiveness Analysis of a Mobile Maternal Health Care Service in West Kiang, The Gambia’, World Health Stat Quarterly, vol. 48, no. 1, 1995; pp. 23–27.

35

Richard, F., et al., ‘Reducing Financial Barriers to Emergency Obstetric Care: Experience of costsharing mechanism in a district hospital in Burkina Faso’, Tropical Medicine and International Health, vol. 12, no. 8, August 2007, pp. 972–981.

36

Gertler, P., and S. Boyce, An Experiment in Incentive-based Welfare: The impact of Progresa on health in Mexico, University of California, Berkeley, 2001; Morris, S.S., et al., ‘Monetary Incentives in Primary Health Care and Effects on Use and Coverage of Preventive Health Care Interventions in Rural Honduras: A cluster randomized trial, The Lancet, vol. 364, no. 9450, 4 December 2004; pp. 30–37.

37

Peters, David H., Gita G. Mirchandani and Peter M. Hansen, ‘Strategies for Engaging the Private Sector in Sexual and Reproductive Health: How effective are they?’, Health Policy and Planning, vol. 19, supplement 1, pp. 5–21.

38

Bhatia, Jagdish, and John Cleland, ‘Health Care of Female Outpatients in South-central India: Comparing public and private sector provision’,

Health Policy and Planning, vol. 19, no. 6, pp. 402–409; Barber, Sarah L., ‘Public and Private Prenatal Care Providers in Urban Mexico: How does their quality compare?’, International Journal for Quality in Health Care, 4 May 2006, pp. 1–8; Barber, SL, PJ Gertler, and P Hasrimurti, ‘Differences in access to high-quality outpatient care in Indonesia’, Health Affairs, vol 26, no 3 May–June 2007, pp 352-366. 39

World Health Organization, World Health Statistics 2008, WHO, Geneva, 2008, pp. 82–83.

40

Mbonye, A.K., et al., ‘Declining Maternal Mortality Ratio in Uganda: Priority interventions to achieve the MDG, International Journal of Gynecology and Obstetrics, vol. 98, no. 3, September 2007, p. 287.

41

World Health Organization, International Planned Parenthood Foundation, John Snow, Inc., PATH, Population Services International, United Nations Population Fund, World Bank, The Interagency List of Essential Medicines for Reproductive Health, WHO, Geneva, 2006.

42

Barker, Carol, et al., ‘Support to the Safe Motherhood Programme in Nepal: An integrated approach’, Reproductive Health Matters, vol. 15, no. 30, November 2007, p. 5.

43

Ganatra, B.R., K.J. Coyaji and V.N. Rao, ‘Too Far, Too Little, Too Late: A community-based, casecontrol study of maternal mortality in rural west Maharashtra, India’, Bulletin of the World Health Organization, 1988, vol. 76, no. 6, pp. 591–598; George, Asha, ‘Persistence of High Maternal Mortality in Koppal District, Karnataka, India: Observed service delivery constraints’, Reproductive Health Matters, vol. 15, no. 30, 2007, pp. 91–102; Murray, Susan F., and Stephen C. Pearson, ‘Maternity Referral Systems in Developing Countries: Current knowledge and future research needs’, Social Science and Medicine, vol. 62, 2006, pp. 2205–2215.

44

Pittrof, Rudiger, Oona Campbell and Veronique Filippi, ‘What Is Quality in Maternity Care? An international perspective’, Acta Obstetricia et Gynecologica Scandinavica, vol. 81, no. 4, April 2002, p. 278.

45

Delvaux, Therese, et al., ‘Quality of Antenatal and Delivery Care Before and After the Implementation of a Prevention of Mother-to-child HIV Transmission Programme in Cote d’Ivoire’, Tropical Medicine and International Health, vol.13, no. 8, August 2008, p. 974.

46

Kayongo, M., et al., ‘Strengthening Emergency Obstetric Care in Ayacucho, Peru’, International Journal of Gynaecology and Obstetrics, vol. 92 , no. 3, March 2006, pp. 299–307; Otchere, S.A., and H.T. Binh, ‘Strengthening Emergency Obstetrics in Thanh Hoah and Quang Tri provinces in Vietnam’, International Journal of Gynaecology and Obstetrics, vol. 99, no. 3, September 2007, pp. 165–172; Otchere, S.A., and A. Kayo, ‘The Challenges of Improving Emergency Obstetric Care in Two Rural Districts in Mali’, International Journal of Gynaecology and Obstetrics, vol. 99, August 2007, pp. 173–182.

47

Thomas, Lena Susan, et al., ‘Making Systems Work: The hard part of improving maternal health services

in South Africa’, Reproductive Health Matters, vol. 15, no. 30, September 2007, pp. 45–48.

CHAPTER 4 PANELS Using critical link methodology in health-care systems to prevent maternal deaths Núñez Urquiza, Rosa María, et al., ‘Más Allá de las Cifras: Detección de eslabones críticos en los procesos de atención para prevenir muertes maternas’, Género y Salud en Cifras, vol. 3, nos. 2/3, May–December 2005, pp. 5–15. New directions in maternal health Starrs, Ann M., ‘Delivering for Women’, The Lancet, vol. 370, no. 9595, 13 October 2007, p. 1285; World Health Organization, United Nations Children’s Fund, United Nations Population Fund and World Bank, Maternal Mortality in 2005: Estimates developed by WHO, UNICEF, UNFPA and the World Bank, WHO, Geneva, 2005; World Health Organization, World Health Report 2005: Make every mother and child count, WHO, Geneva, 2005; Braveman, Paula, and Eleuther Tarimo, ‘Social Inequalities in Health within Countries: Not only an issue for affluent nations’, Social Science & Medicine, vol. 54, no. 11, 2002, pp. 1621–1635; Marmot, Michael, ‘Social Determinants of Health Inequalities’, The Lancet, vol. 365, no. 9464, 19 March 2005, pp. 1099–1104; Hill, Kenneth, et al., ‘Estimates of Maternal Mortality Worldwide between 1990 and 2005: An assessment of available data’, Obstetric Anesthesia Digest, vol. 28, no. 2, June 2008, pp. 94–95; Bryce, Jennifer, and J. H. Requejo, Tracking Progress in Maternal, Newborn & Child Survival: The 2008 report, Countdown to 2015, United Nations Children’s Fund, New York, 2008; Sedgh, Gilda, et al., ‘Induced Abortion: Rates and trends worldwide’, The Lancet, vol. 370, no 9595, 13 October 2007, pp. 1338–1345; Gülmezoglu, A. Metin, et al., ‘WHO Systematic Review of Maternal Mortality and Morbidity: Methodological issues and challenges’, BMC Medical Research Methodology, vol. 4, no. 16, 2004, p. 16; Filippi, V., et al., ‘Health of Women after Severe Obstetric Complications in Burkina Faso: A longitudinal study’, The Lancet, vol. 370, no. 9595, 13 October 2007, pp. 1329–1337; Bhutta, Zulfiqar A., et al., ‘What Works? Interventions for maternal and child undernutrition and survival, The Lancet, vol. 371, no. 9610, 2 February 2008, pp. 417–440; Shankar, A.H., et al., ‘Effect of Maternal Multiple Micronutrient Supplementation on Fetal Loss and Infant Death in Indonesia: A double-blind cluster-randomized trial’, The Lancet, vol. 371, no. 9608, 19 January 2008, pp. 215–227; Campbell, O.M., and W.J. Graham, ‘Strategies for Reducing Maternal Mortality: Getting on with what works’, The Lancet, vol. 368, no. 9543, 7 October 2006, pp. 1284–1299; Villar, J., et al., ‘World Health Organization randomized trial of calcium supplementation among low calcium intake pregnant women’, American Journal of Obstetrics & Gynecology, vol. 193, no. 6S2, February 2006, pp. 639–649; Altman, D., et al., ‘Do women with pre-eclampsia, and their babies, benefit from magnesium sulphate? The Magpie Trial: A randomized placebo-controlled trial’, The Lancet, vol. 359, no. 9321, 1 June 2002, pp. 1877–1890; Althabe, Fernando, et al., ‘A behavioral intervention to improve obstetrical care’, New England Journal of Medicine, vol. 358, no. 18, 1 May 2008, pp. 1929–1940; Villar, J., et al., ‘WHO

Antenatal Care Randomized Trial for the Evaluation of a New Model of Routine Antenatal Care’, The Lancet, vol. 357, no. 9268, 19 May 2001, pp. 1551–1564; United Nations Children’s Fund, Malaria & Children: Progress in intervention coverage, UNICEF, New York, 2007; Kerber, Kate J., et al., ‘Continuum of Care for Maternal, Newborn, and Child Health: From slogan to service delivery’, The Lancet, vol. 370; no. 9595, 13 October 2007, pp. 1358–1369. Strengthening the health system in the Lao People’s Democratic Republic Economist Intelligence Unit, Country Report Laos, January 2008, EIU, London, 2008, pp. 7, 12; United Nations Children’s Fund, The State of Asia-Pacific’s Children 2008, UNICEF, New York, May 2008, p. 38; United Nations Population Fund, Maternal and Neonatal Health in East and Southeast Asia, UNFPA, New York, 18 May 2008, p. 1; Perks, Carol, Michael J. Toole and Khamla Phouthonsy, ‘District Health Programmes and Health-sector Reform: Case study in the Lao People’s Democratic Republic’, Bulletin of the World Health Organization, vol. 84, no. 2, February 2006, p. 133–135; UNICEF Lao People’s Democratic Republic, Annual Report 2007, pp.3–4, 9. Saving mothers and newborn lives – the crucial first days after birth Lawn, Joy E., Simon Cousens and Jelka Zupan, ‘4 Million Neonatal Deaths: When? where? why?’, The Lancet, vol. 365, no. 9462, 5 March 2005, pp. 891–900; Baqui, A.H., et al., ‘Effect of Timing of First Postnatal Care Home Visit on Neonatal Mortality in Bangladesh: An observational study’, 2008 (unpublished); Darmstadt, G.L., et al., ‘Evidence-based, Cost-effective Interventions: How many newborn babies can we save?’, The Lancet, vol. 365, no. 9463, 12 March 2005, pp. 977–988; Bhutta, Zulfiqar A., et al., ‘What Works? Interventions for maternal and child undernutrition and survival’, The Lancet, vol. 371, no. 9610, 2 February 2008, pp. 417–440; Dearden, Kirk, et al., ‘The Impact of Mother-to-mother Support on Optimal Breast-feeding: A controlled community intervention trial in peri-urban Guatemala City, Guatemala’, Pan American Journal of Public Health, vol. 12, no. 3, September 2002, pp. 193–201; Kerber, Kate J., et al., ‘Continuum of Care for Maternal, Newborn and Child Health: From slogan to service delivery’, The Lancet, vol. 370, no. 9595, 13 October 2007, pp. 1358–1369; Bryce, J., et al., ‘Countdown to 2015 for Maternal, Newborn and Child Survival: The 2008 report on tracking coverage of interventions’, The Lancet, vol. 371, no. 9620, 12 April 2008, pp. 1247–1258; Tinker, Anne, et al., ‘A Continuum of Care to Save Newborn Lives’, The Lancet, vol. 365, no. 9462, 5 March 2005, pp. 822–825; Lawn, Joy E., and Kerber, Kate J., eds., Opportunities for Africa’s Newborns: Practical data, policy and programmatic support for newborn care in Africa, Partnership on Maternal, Newborn and Child Health, Cape Town, 2006, p.84; Peterson, S., et al., ‘Coping with Paediatric Referral: Ugandan parents’ experience’, The Lancet, vol. 363, no. 9425, 12 June 2004, pp. 1955–1956; Bang, A.T., et al., ‘Effect of Homebased Neonatal Care and Management of Sepsis on Neonatal Mortality: Field trial in rural India, The Lancet, vol. 354, no. 9194, 4 December 1999, pp. 1955–1961; Baqui, Abdullah H., et al., ‘Effect of Community-based Newborn-care Intervention Package Implemented through Two Servicedelivery Strategies in Sylhet District, Bangladesh:

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A cluster-randomized controlled trial’, The Lancet, vol. 371, no. 9628, 7 June 2008, pp. 1936–1944. Burundi: Government commitment to maternal and child health care Economist Intelligence Unit, Country Report Burundi, May 2008, EIU, London, 2008; United Nations Development Programme, Human Development Report 2007/2008: Fighting Climate Change – Human solidarity in a divided world, UNDP, New York, 2007, p. 240; United Nations Children’s Fund, The State of the World’s Children 2008: Child survival, UNICEF, New York, January 2008, pp. 114, 118, 126, 142; Philips, Mit, et al., ‘Burundi: A population deprived of basic health care’, British Journal of General Practice, vol. 54, no. 505, 1 August 2004, p. 634; Human Rights Watch, ‘A High Price to Pay: Detention of poor patients in Burundian hospitals, Human Rights Watch, vol. 18, no. 8(A), September 2006, pp. 7, 21, 27; United Nations Children’s Fund, Annual Report 2007, UNICEF, New York, 2008, pp. 11, 25–26; International Health Partnership; Scaling-Up for Better Health (IHP+) Update, no. 1, WHO, 1 November 2007, p. 1, , <www.who.int/healthsystems/ ihp/en/index.html>, accessed 30 July 2008. Integrating maternal and newborn health care in India United Nations Children’s Fund, The State of AsiaPacific’s Children 2008, UNICEF, New York, May 2008, pp. 20, 53; United Nations Children’s Fund, The State of the World’s Children 2008: Child survival, UNICEF, New York, January 2008, pp. 115, 143; Maternal and Neonatal Health Review in the South Asian Region, 25 June 2008, pp. 16, 103; United Nations Children’s Fund, Annual Report 2007, UNICEF, New York, 2008, p. 4; Government of India, Ministry of Health & Family Welfare, Janani Suraksha Yojana: Guidelines for implementation, September 2006, p. 5; Sharma, Ramakant, ‘Janani Suraksha Yojana: A study of the implementation status in selected districts of Rajasthan’, Population Research Centre, Mohanlal Sukhadia University, 2007–2008; United Nations Population Fund, ‘Rapid Assessment of Chiranjeevi Yojana in Gujarat 2006’, UNFPA India, pp. v, 23; Bhat, Ramesh, Dale Huntington and Sunil Maheshwari, ‘Public-Private Partnerships: Managing contracting arrangements to strengthen the Reproductive and Child Health Programme in India – Lessons and implications from three case studies’, World Health Organization, 2007, p. 12–13; UNICEF India Country Office, ‘Assessment of Chiranjeevi Performance’, February 2008, , accessed August 4, 2008.

CHAPTER 5 1

World Health Organization, ‘Progress in Global Measles Control and Mortality Reduction, 2000–2006’, Morbidity and Mortality Weekly Report, vol. 82, no. 48, 30 November 2007, p. 422.

2

Joint United Nations Monitoring Programme on HIV/AIDS, United Nations Children’s Fund and World Health Organization, Towards Universal Access: Scaling up HIV services for women and children in the health sector – Progress Report 2008, UNAIDS/UNICEF/WHO, pp. 88–89,98.

3

Overseas Development Institute, ‘Global Health: Making partnerships work’, Briefing paper no. 15, ODI, London, January 2007, p. 1

112

4

International Health Partnership, ‘Informal Meeting of Global Health Leaders’, Outcome Document, July 2007, <www.internationalhealthpartnership.net/ ihp_plus_about_agencies.html>, accessed 30 September 2008.

5

International Health Partnership, , accessed 15 September 2008.

6

High Level Forum on Aid Effectiveness, ‘Paris Declaration on Aid Effectiveness: Ownership, harmonisation, alignment, results and mutual accountability’, Paris, 28 February–2 March 2005; 3rd High Level Forum on Aid Effectiveness, ‘Accra Agenda for Action’, Accra, 2–4 September 2008.

7

Canadian International Development Agency, Office of Economic Cooperation and Development and the World Bank, Building a New Aid Relationship: The Paris Declaration on Aid Effectiveness, 3rd High Level Forum on Aid Effectiveness, Accra, 2–4 September 2008, p. 26.

8

Partnership for Maternal, Newborn and Child Health, ‘A Global Call for G8 Leaders and Other Donors to Champion Maternal, Newborn and Child Health’, World Health Organization, Geneva, April 2008, pp. 1–4.

9

Toyako Framework for Action on Global Health: Report of the G8 Health Experts Group, Tokyo, 8 July 2008, pp. 1–10.

10

Greco, Giulia, et al., ‘Countdown to 2015: Assessment of donor assistance to maternal, newborn and child health between 2003 and 2006’, The Lancet, vol. 371, no. 9620, 12 April 2008, pp. 1268–1275.

CHAPTER 5 PANELS Working together for maternal and newborn health World Health Organization: The Health of the People: The African regional health report 2006, WHO Regional Office for Africa, Brazzaville, 2006, p. 19; The White Ribbon Alliance for Safe Motherhood, Annual Report 2007; Graham, Wendy J., ‘How Japan Reduced Maternal Mortality in One Generation’, brief published by the Partnership for Maternal, Newborn and Child Health, <www.who.int/pmnch/topics/ maternal/japanexample/en/print.html>, accessed 30 September 2008. Key global partnerships for maternal and newborn health Information derived from partnerships websites, accessed 30 August 2008. Partnering for mothers and newborns in the Central African Republic Information supplied by UNICEF CAR. UN agencies strengthen their collaboration in support of maternal and newborn health World Health Organization, ‘Accelerating Efforts to Save the Lives of Women and Newborns’, joint statement on behalf of UNICEF, United Nations Population Fund, the World Bank and WHO, 25 September 2008; WHO-UNFPA-UNICEF-World Bank Joint Country Support for Accelerated Implementation of Maternal and Newborn Continuum of Care, <www.who.int/mediacentre/news/statements/2008/

T H E S TAT E O F T H E W O R L D ’ S C H I L D R E N 2 0 0 9

who_unfpa_unicef_joint_country_support.pdf>, accessed 28 October 2008. Enhancing health systems: The Health Metrics Network World Health Organization, Health Metrics Network, Framework and Standards for Country Health Information Systems, 2nd edition, WHO, Geneva, 2008, pp. 5–8; Health Metrics Network website, <www.who.int/healthmetric/about/en>, accessed 30 September 2008.

STATISTICAL TABLES Economic and social statistics on the countries and territories of the world, with particular reference to children’s well-being.

General note on the data ....................................................................................page Explanation of symbols ......................................................................................page Under-five mortality rankings..............................................................................page Summary indicators..............................................................................................page Measuring human development: An introduction to Table 10 ..............................................................................page

TABLES

1 2 3 4 5 6 7 8 9 10

114 116 117 152 153

Basic indicators............................................................................page 118 Nutrition ......................................................................................page 122 Health ..........................................................................................page 126 HIV/AIDS ......................................................................................page 130 Education ....................................................................................page 134 Demographic indicators ............................................................page 138 Economic indicators ..................................................................page 142 Women ........................................................................................page 146 Child protection ..........................................................................page 150 The rate of progress ..................................................................page 154

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113

STATISTICAL TABLES

Economic and social statistics on the countries and territories of the world, with particular reference to children’s well-being.

General note on the data The data presented in the following statistical tables are derived from the UNICEF Global Databases, which include only internationally comparable and statistically sound data; these data are accompanied by definitions, sources and explanations of symbols. Data from the responsible United Nations organization have been used wherever possible. In the absence of such internationally standardized estimates, the tables draw on other sources, particularly data drawn from nationally representative household surveys. Data presented in this year’s report reflect information available as of 1 July 2008. More detailed information on methodology and the data sources is available at <www.childinfo.org>. Several of the indicators, such as the data for life expectancy, total fertility rates and crude birth and death rates, are part of the regular work on estimates and projections undertaken by the United Nations Population Division. These and other internationally produced estimates are revised periodically, which explains why some data will differ from earlier UNICEF publications. This report includes the latest estimates and projections from the World Population Prospects 2006. Data quality is likely to be adversely affected for countries that have recently suffered human-caused or natural disasters. This is particularly true where basic country infrastructure has been fragmented or major population movements have occurred.

Mortality estimates Each year, UNICEF includes in The State of the World’s Children mortality estimates, such as the infant mortality rate, under-five mortality rate and under-five deaths, for at least two reference years, if possible. These figures represent the best estimates available at the time the report is produced and are based on the work of the Inter-agency Group for Child Mortality Estimation, which includes UNICEF, the World Health Organization (WHO), the World Bank and the United Nations Population Division. This group updates these estimates every year, undertaking a detailed review of all newly available data points. At times, this review will result in adjustments to previously reported estimates. Therefore, estimates published in consecutive editions of The State of the World’s Children may not be comparable and should not be used for analysing

114

T H E S TAT E O F T H E W O R L D ’ S C H I L D R E N 2 0 0 9

mortality trends over time. It is important to note that comparable under-five mortality estimates for the periods 1970, 1990 and the latest year are available in Table 10. In addition, the full time series for all countries is published at <www.childinfo.org> and <www.childmortality.org>, the website of the Inter-agency Group for Child Mortality Estimation. This time series is based on the most recent estimates produced by the Inter-agency Group for Child Mortality Estimation.

Multiple Indicator Cluster Surveys (MICS) For more than a decade, UNICEF has supported countries in collecting statistically sound and internationally comparable data through the Multiple Indicator Cluster Surveys (MICS). Since 1995, nearly 200 surveys have been conducted in approximately 100 countries, and the latest round of MICS surveys was conducted in more than 50 countries during 2005–2006, allowing for a new and more comprehensive assessment of the situation of children and women globally. The next round of MICS surveys is planned for 2009–2010. The UNICEF-supported MICS, along with the Demographic and Health Surveys, are among the largest sources of data for monitoring progress towards the Millennium Development Goals and may be used for reporting on 21 of the 53 MDG indicators. These data are also used for monitoring other internationally agreed commitments, such as the ‘World Fit for Children Plan of Action’ and the global goals on AIDS and malaria. They have been incorporated into the statistical tables appearing in this report and have also been used to inform the report’s analyses. More information on these data is available at <www.childinfo.org>.

Revisions The following revisions have been made to indicators included in this year’s statistical tables. Table 1. Basic Indicators: Table 1 presents estimates of child mortality as developed by the Inter-agency Group for Child Mortality Estimation. Note that the neonatal mortality rates for the year 2004, as presented in this table, are produced by WHO and have not been formally assessed by the Inter-agency Group for Child Mortality Estimation. These

estimates, therefore, may not necessarily be consistent with the age structure of child mortality implicit in the infant and under-five mortality estimates for 2007. In addition, child mortality estimates for 12 countries in Eastern and Southern Africa (Botswana, Lesotho, Malawi, Mozambique, Namibia, Rwanda, South Africa, Swaziland, Uganda, the United Republic of Tanzania, Zambia and Zimbabwe) were revised to reflect UNAIDS estimates of child deaths due to AIDS. These UNAIDS estimates are produced based on information related not only to the prevalence of HIV but also to recent efforts in HIV and AIDS prevention and treatment. A more detailed explanation of these estimation methods is available at <www.childmortality.org>. Table 2. Nutrition: Prevalence of underweight, stunting and wasting among children under five years of age is estimated by comparing actual measurements to an international standard reference population. In April 2006, the World Health Organization released the ‘WHO Child Growth Standards’ to replace the widely used National Center for Health Statistics/WHO reference population, which was based on a limited sample of children from the United States. The new standards are the result of an intensive study project involving more than 8,000 children from Brazil, Ghana, India, Norway, Oman and the United States. Overcoming the technical and biological drawbacks of the old reference, the new standards confirm that children born anywhere in the world and given the optimum start in life have the potential to develop to within the same range of height and weight, i.e., differences in children’s growth to age five are more influenced by nutrition, feeding practices, environment and health care than genetics or ethnicity. This is the first year that Table 2 includes underweight estimates according to the new ‘WHO Child Growth Standards’. It should be noted that due to the differences between the old reference population and the new standards, prevalence estimates of child anthropometry indicators based on these two references are not readily comparable. Table 4. HIV and AIDS: In August 2008, the Joint United Nations Programme on HIV/AIDS (UNAIDS) and WHO released new global HIV and AIDS estimates for 2007 that were derived from a more refined methodology and reflect the availability of more reliable data from population-

based surveys and expanded national sentinel surveillance systems in a number of countries. Differences between the new UNAIDS and WHO estimates for adult HIV prevalence, adults and children living with HIV and children orphaned by AIDS for 2007 are, for the most part, less marked than estimates published in previous reports. Figures published in this report are not comparable to previous estimates and therefore do not reflect trends over time. UNAIDS has published comparable estimates by applying the new methods to earlier HIV and AIDS estimates, which can be accessed at <www.unaids.org>. Table 5. Education: The survival rate to grade 5 (percentage of primary school entrants reaching grade 5) was replaced by the survival rate to the last grade of primary school (percentage of children entering the first grade of primary school who are expected to reach the last grade). The survival rate to the last grade replaced the survival rate to grade 5 and became an official indicator for Millennium Development Goal 2 (universal primary education) in January 2008. Table 7. Economics: The World Bank recently announced a new poverty line that is based on revised estimates of purchasing power parity (PPP) price levels around the world. Table 7 reflects this updated poverty line, and thus reports on the proportion of the population living below US$1.25 per day at 2005 prices, adjusted for purchasing power parity. The new poverty threshold reflects revisions to purchasing power parity exchange rates based on the results of the 2005 International Comparison Program. The revisions reveal that the cost of living is higher across the developing world than previously estimated. As a result of these revisions, poverty rates for individual countries cannot be compared with poverty rates reported in previous editions. More detailed information on the definition, methodology and sources of the data presented is available at <www.worldbank.org>. Table 8. Women: In addition to presenting the proportion of women who were attended at least once during pregnancy by skilled health personnel, this year’s table presents the proportion attended at least four times by any provider. The two antenatal care indicators are part of a revised monitoring framework for MDG 5 that went into

S TAT I S T I C A L TA B L E S

115

STATISTICAL TABLES

Economic and social statistics on the countries and territories of the world, with particular reference to children’s well-being.

General note on the data (continued)

effect in January 2008 under a new target: achieving universal access to reproductive health. Table 9. Child Protection: Data on child disability are derived from household surveys, and the indicator is defined as the proportion of children aged 2–9 years who screened positive for at least one type of disability (e.g., cognitive, motor, seizure, vision or hearing). Questions on child

disability are addressed to the parent or caretaker of the child, who is asked to provide a personal assessment of the child’s physical and mental development and functioning. As of June 2008, the methodology used to calculate these estimates from MICS surveys changed. Previously, the estimates were calculated based on 9 of the 10 MICS questions on disability. In this year’s report and going forward, the data will be based on all 10 questions.

Explanation of symbols Because the aim of these statistical tables is to provide a broad picture of the situation of children and women worldwide, detailed data qualifications and footnotes are seen as more appropriate for inclusion elsewhere. Sources and years for specific data points included in the statistical tables are available at <www.childinfo.org>. Symbols specific to a particular table are included in the table footnotes. The following symbols are common across all tables: –

Data are not available.

x

Data refer to years or periods other than those specified in the column heading, differ from the standard definition or refer to only part of a country. Such data are not included in the calculation of regional and global averages.

y

Data refer to years or periods other than those specified in the column heading, differ from the standard definition or refer to only part of a country. Such data are included in the calculation of regional and global averages.

*

Data refer to the most recent year available during the period specified in the column heading.

§

Includes territories as well as countries within each category or regional group. Countries and territories in each country category or regional group are listed on page 152.

116

T H E S TAT E O F T H E W O R L D ’ S C H I L D R E N 2 0 0 9

Under-five mortality rankings The following list ranks countries and territories in descending order of their estimated 2007 under-five mortality rate (U5MR), a critical indicator of the well-being of children. Countries and territories are listed alphabetically in the tables on the following pages. Under-5 mortality rate (2007) Value Rank Sierra Leone Afghanistan Chad Equatorial Guinea Guinea-Bissau Mali Burkina Faso Nigeria Rwanda Burundi Niger Central African Republic Zambia Mozambique Democratic Republic of the Congo Angola Guinea Cameroon Somalia Liberia Uganda Côte d’Ivoire Djibouti Congo Benin Kenya Ethiopia Mauritania United Republic of Tanzania Ghana Senegal Madagascar Malawi Gambia Sudan Myanmar Togo Sao Tome and Principe Timor-Leste Cambodia Gabon Swaziland Pakistan Zimbabwe Bhutan Lesotho Haiti Yemen India Eritrea Lao People’s Democratic Republic Solomon Islands Namibia Tajikistan Comoros Papua New Guinea Kiribati Bangladesh Guyana South Africa Bolivia Democratic People’s Republic of Korea Nepal Marshall Islands Turkmenistan Iraq

262 257 209 206 198 196 191 189 181 180 176 172 170 168 161 158 150 148 142 133 130 127 127 125 123 121 119 119 116 115 114 112 111 109 109 103 100 99 97 91 91 91 90 90 84 84 76 73 72 70 70 70 68 67 66 65 63 61 60 59 57 55 55 54 50 44

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 22 24 25 26 27 27 29 30 31 32 33 34 34 36 37 38 39 40 40 40 43 43 45 45 47 48 49 50 50 50 53 54 55 56 57 58 59 60 61 62 62 64 65 66

Under-5 mortality rate (2007) Value Rank Mongolia Uzbekistan Botswana Micronesia (Federated States of) Azerbaijan Guatemala Dominican Republic Kyrgyzstan Algeria Tuvalu Egypt Mexico Nicaragua Trinidad and Tobago Morocco Vanuatu Iran (Islamic Republic of) Cape Verde Kazakhstan Indonesia Jamaica Georgia Maldives Nauru Lebanon Paraguay Suriname Philippines Occupied Palestinian Territory Samoa Belize Saudi Arabia Armenia El Salvador Honduras Jordan Ukraine Panama Tonga Turkey Brazil China Ecuador Sri Lanka Tunisia Colombia Peru Grenada Saint Vincent and the Grenadines Venezuela (Bolivarian Republic of) Cook Islands Fiji Libyan Arab Jamahiriya Moldova Saint Kitts and Nevis Saint Lucia Syrian Arab Republic The former Yugoslav Republic of Macedonia Argentina Albania Mauritius Qatar Romania Russian Federation Viet Nam Bosnia and Herzegovina

43 41 40 40 39 39 38 38 37 37 36 35 35 35 34 34 33 32 32 31 31 30 30 30 29 29 29 28 27 27 25 25 24 24 24 24 24 23 23 23 22 22 22 21 21 20 20 19 19 19 18 18 18 18 18 18 17 17 16 15 15 15 15 15 15 14

67 68 69 69 71 71 73 73 75 75 77 78 78 78 81 81 83 84 84 86 86 88 88 88 91 91 91 94 95 95 97 97 99 99 99 99 99 104 104 104 107 107 107 110 110 112 112 114 114 114 117 117 117 117 117 117 123 123 125 126 126 126 126 126 126 132

Under-5 mortality rate (2007) Value Rank Uruguay Bahamas Belarus Seychelles Barbados Bulgaria Oman Antigua and Barbuda Costa Rica Dominica Kuwait Malaysia Bahrain Montenegro Palau Brunei Darussalam Chile Latvia Lithuania Serbia Slovakia United Arab Emirates United States Cuba Hungary Poland Thailand Australia Canada Croatia Estonia New Zealand United Kingdom Belgium Cyprus Israel Republic of Korea Malta Netherlands Switzerland Austria Czech Republic Denmark Finland France Germany Greece Ireland Italy Japan Monaco Norway Portugal San Marino Slovenia Spain Andorra Iceland Liechtenstein Luxembourg Singapore Sweden Holy See Niue

14 13 13 13 12 12 12 11 11 11 11 11 10 10 10 9 9 9 8 8 8 8 8 7 7 7 7 6 6 6 6 6 6 5 5 5 5 5 5 5 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 3 3 3 3 3 3 – –

S TAT I S T I C A L TA B L E S

132 134 134 134 137 137 137 140 140 140 140 140 145 145 145 148 148 148 151 151 151 151 151 156 156 156 156 160 160 160 160 160 160 166 166 166 166 166 166 166 173 173 173 173 173 173 173 173 173 173 173 173 173 173 173 173 189 189 189 189 189 189

117

TABLE 1. BASIC INDICATORS

Countries and territories

Afghanistan Albania Algeria Andorra Angola Antigua and Barbuda Argentina Armenia Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bhutan Bolivia Bosnia and Herzegovina Botswana Brazil Brunei Darussalam Bulgaria Burkina Faso Burundi Cambodia Cameroon Canada Cape Verde Central African Republic Chad Chile China Colombia Comoros Congo Cook Islands Costa Rica Côte d’Ivoire Croatia Cuba Cyprus Czech Republic Democratic People’s Republic of Korea Democratic Republic of the Congo Denmark Djibouti Dominica Dominican Republic Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Ethiopia Fiji Finland

118

Infant mortality rate (under 1)

Annual no. of under-5 deaths (thousands) 2007

2007

Neonatal mortality rate 2004

Total population (thousands) 2007

Annual no. of births (thousands) 2007

168 37 54 5 150 – 25 48 8 8 78 22 15 105 15 20 9 35 111 91 89 18 45 49 10 15 112 113 87 85 7 45 113 120 18 36 28 88 67 26 16 104 11 11 9 10

165 13 33 3 116 10 15 22 5 4 34 12 9 47 11 12 4 22 78 56 48 13 33 20 8 10 104 108 70 87 5 24 113 124 8 19 17 49 79 16 10 89 5 5 3 3

60 9 22 2 54 8 10 18 3 3 35 5 4 36 8 3 2 17 36 30 24 10 46 13 4 7 32 41 48 30 3 9 52 42 5 18 13 25 30 10 8 64 5 4 2 2

27145 3190 33858 75 17024 85 39531 3002 20743 8361 8467 331 753 158665 294 9689 10457 288 9033 658 9525 3935 1882 191791 390 7639 14784 8508 14444 18549 32876 530 4343 10781 16635 1328630 46156 839 3768 13 4468 19262 4555 11268 855 10186

1314 52 704 0 810 0 693 37 256 77 134 6 13 3998 3 91 109 7 365 12 263 34 47 3706 8 68 654 399 382 649 340 15 158 492 250 17374 876 28 133 0 80 687 41 118 10 93

338 1 26 0 128 0 11 1 2 0 5 0 0 244 0 1 1 0 45 1 15 0 2 82 0 1 125 72 35 96 2 0 27 103 2 382 18 2 17 0 1 87 0 1 0 0

55

42

42

22

23790

317

17

161 4 127 11 38 22 36 24 206 70 6 119 18 4

127 7 116 14 53 43 68 47 103 88 14 122 19 6

108 4 84 9 31 20 30 21 124 46 4 75 16 3

47 3 45 10 18 13 17 12 47 21 4 41 10 2

62636 5442 833 67 9760 13341 75498 6857 507 4851 1335 83099 839 5277

3118 62 24 0 231 283 1840 158 20 191 14 3201 18 58

502 0 3 0 9 6 66 4 4 13 0 381 0 0

Under-5 mortality rate

Under-5 mortality rank

1990

2007

1990

2 126 75 189 16 140 125 99 160 173 71 134 145 58 137 134 166 97 25 45 61 132 69 107 148 137 7 10 40 18 160 84 12 3 148 107 112 55 24 117 140 22 160 156 166 173

260 46 69 6 258 – 29 56 9 9 98 29 19 151 17 24 10 43 184 148 125 22 57 58 11 18 206 189 119 139 8 60 171 201 21 45 35 120 104 32 18 151 13 13 11 12

257 15 37 3 158 11 16 24 6 4 39 13 10 61 12 13 5 25 123 84 57 14 40 22 9 12 191 180 91 148 6 32 172 209 9 22 20 66 125 18 11 127 6 7 5 4

62

55

15 173 22 140 73 107 77 99 4 50 160 27 117 173

200 9 175 18 66 57 93 60 170 147 18 204 22 7

T H E S TAT E O F T H E W O R L D ’ S C H I L D R E N 2 0 0 9

Primary Total school net adult Life enrolment/ expectancy literacy GNI attendance rate at birth per capita (%) (%) (years) (US$) 2000–2007* 2000–2007* 2007 2007

250x 3290 3620 d 2560 11520 6050 2640 35960 42700 2550 15730x 19350 470 d 4220 40710 3800 570 1770 1260 3580 5840 5910 26930x 4590 430 110 540 1050 39420 2430 380 540 8350 2360 3250 680 1540 – 5560 910 10460 c 24940 14450

44 76 72 – 42 – 75 72 81 80 67 73 76 64 77 69 79 76 56 66 65 75 50 72 77 73 52 49 59 50 81 72 44 51 79 73 73 65 55 – 79 48 76 78 79 76

28 99 75 – 67 – 98 100 – – 99 – 89 54 – 100 – – 41 56 90 97 83 91 95 98 29 59 76 68 – 84 49 26 97 93 94 75 87 – 96 49 99 100 98 –

a

67

–

140 54910 1090 4250 3550 3080 1580 2850 12860 230 13200 220 3800 44400

46 78 55 – 72 75 71 72 51 58 71 53 69 79

67 – – – 89 93 72 86 87 – 100 36 – –

% share of household income 1995–2005* lowest highest 40% 20%

61 94 95 83 58s – 99 99s 96 97 73s 88 98 81s 96 89 97 97 67s 70s 78s 91s 84 94 94 92 47 75 90 84s 100 88 59s 36s – 99 89 73 86s 74 92 62s 90 97 99 93

– 21 19 – – – 11 21 18x 22 19 – – 21 – 23 22 – 19 – 7 19 9x 9 – 22 18 15 17 15 20 – 7x – 11 13 10 – – – 13 14 22 – – 25

– 40 43 – – – 55 43 41x 38 45 – – 43 – 37 41 – 45 – 63 43 65x 61 – 38 47 48 50 51 40 – 65x – 60 52 61 – – – 53 51 38 – – 36

–

–

–

52s 96 79s 77 78 97 96 94 61s 47 94 45s 91 97

– 23 – – 12 11 22 10 – – 19 22 – 24

– 36 – – 55 58 42 56 – – 43 39 – 37

…TABLE 1

France Gabon Gambia Georgia Germany Ghana Greece Grenada Guatemala Guinea Guinea-Bissau Guyana Haiti Holy See Honduras Hungary Iceland India Indonesia Iran (Islamic Republic of) Iraq Ireland Israel Italy Jamaica Japan Jordan Kazakhstan Kenya Kiribati Kuwait Kyrgyzstan Lao People’s Democratic Republic Latvia Lebanon Lesotho Liberia Libyan Arab Jamahiriya Liechtenstein Lithuania Luxembourg Madagascar Malawi Malaysia Maldives Mali Malta Marshall Islands Mauritania Mauritius Mexico Micronesia (Federated States of) Moldova Monaco Mongolia Montenegro Morocco Mozambique Myanmar Namibia Nauru

Primary Total school net adult Life enrolment/ expectancy literacy GNI attendance rate at birth per capita (%) (%) (years) (US$) 2000–2007* 2000–2007* 2007 2007

% share of household income 1995–2005*

2007

Neonatal mortality rate 2004

Total population (thousands) 2007

Annual no. of births (thousands) 2007

Annual no. of under-5 deaths (thousands) 2007

7 60 104 41 7 76 9 30 60 137 142 64 105 – 45 15 5 83 60 54 42 8 10 8 28 5 33 51 64 65 13 62

4 60 82 27 4 73 4 15 29 93 118 45 57 – 20 6 2 54 25 29 36 4 4 3 26 3 21 28 80 46 9 34

2 31 44 25 3 43 3 11 19 39 47 22 32 – 17 5 1 39 17 19 63 4 3 3 10 1 16 32 34 25 7 30

61647 1331 1709 4395 82599 23478 11147 106 13354 9370 1695 738 9598 1 7106 10030 301 1169016 231627 71208 28993 4301 6928 58877 2714 127967 5924 15422 37538 95 2851 5317

758 34 60 48 678 703 103 2 449 377 84 13 270 – 200 93 4 27119 4386 1441 935 67 137 539 55 1070 154 297 1479 0 51 115

3 3 7 1 3 81 0 0 18 57 17 1 21 – 5 1 0 1953 136 48 41 0 1 2 2 4 4 10 179 0 1 4

38500 6670 320 2120 38860 590 29630 4670 2440 400 200 1300 560 – 1600 11570 54100 950 1650 3470 2170x 48140 21900 33540 3710 37670 2850 5060 680 1170 31640 590

81 57 59 71 79 60 79 69 70 56 46 66 61 – 70 73 82 64 70 71 59 79 81 81 72 83 72 67 53 – 78 66

– 86 – – – 65 97 – 73 30 65 – 62 – 83 99 – 66 91 85 74 – – 99 86 – 93 100 74 – 94 99

99 94s 62 95s 98 72 100 84 94 51s 54s 96s 50s – 79s 88 98 83s 96 94 89 95 97 99 97s 100 90 98s 76 97 84 92s

20 – 14 16 22 16 19 – 12 18 14x – 9 – 11 22 – 19 18 17 – 20 16 19 15 25x 18 19 16 – – 22

40 – 53 47 37 47 42 – 54 46 53x – 63 – 58 39 – 45 47 45 – 42 45 42 52 36x 46 42 49 – – 39

70 9 29 84 133 18 3 8 3 112 111 11 30 196 5 54 119 15 35

120 13 32 81 138 35 9 12 8 103 124 16 79 148 10 63 81 21 42

56 7 26 68 93 17 2 7 2 70 71 10 26 117 4 49 75 13 29

30 6 19 52 66 11 – 5 3 41 26 5 24 54 3 24 40 9 11

5859 2277 4099 2008 3750 6160 35 3390 467 19683 13925 26572 306 12337 407 59 3124 1262 106535

157 21 74 59 189 145 0 30 5 722 573 555 7 595 4 0 102 19 2088

11 0 2 5 25 3 0 0 0 81 64 6 0 117 0 0 12 0 73

580 9930 5770 1000 150 9010 d 9920 75880 320 250 6540 3200 500 15310 3070 840 5450 8340

64 73 72 42 45 74 – 73 79 59 48 74 68 54 79 – 64 73 76

73 100 – 82 56 87 – 100 – 71 72 92 97 23 92 – 56 87 92

84 90 82 85s 40 – 88 89 97 76s 91 100 97 61 91 66 57s 95 98

20 19 – 6 – – – 19 – 13 18 13 – 16 – – 17 – 13

43 43 – 67 – – – 43 – 54 47 54 – 47 – – 46 – 55

40 18 4 43 10 34 168 103 68 30

45 30 7 71 14 69 135 91 57 –

33 16 3 35 9 32 115 74 47 25

11 12 2 18 9 24 35 49 20 14

111 3794 33 2629 598 31224 21397 48798 2074 10

3 43 0 49 8 641 855 891 53 0

0 1 0 2 0 22 144 92 4 0

68 69 – 67 74 71 42 62 52 –

– 99 – 97 – 56 44 90 88 –

92 88 – 97s 97s 88 60s 84s 91s 60

– 20 – 20 – 17 15 – 4x –

– 41 – 41 – 47 54 – 79x –

Under-5 mortality rate

Infant mortality rate (under 1)

Under-5 mortality rank

1990

2007

1990

173 40 34 88 173 30 173 114 71 17 5 59 47 – 99 156 189 49 86 83 66 173 166 173 86 173 99 84 26 57 140 73

9 92 153 47 9 120 11 37 82 231 240 88 152 – 58 17 7 117 91 72 53 9 12 10 33 6 40 60 97 88 15 74

4 91 109 30 4 115 4 19 39 150 198 60 76 – 24 7 3 72 31 33 44 4 5 4 31 4 24 32 121 63 11 38

50 148 91 45 20 117 189 151 189 32 33 140 88 6 166 64 27 126 78

163 17 37 102 205 41 10 16 9 168 209 22 111 250 11 92 130 24 52

69 117 173 67 145 81 14 36 53 88

58 37 9 98 16 89 201 130 87 –

2470 1260 d 1290 5180 2250 320 220x 3360 –

lowest highest 40% 20%

S TAT I S T I C A L TA B L E S

119

TABLE 1. BASIC INDICATORS

Under-5 mortality rank

Nepal 62 Netherlands 166 New Zealand 160 Nicaragua 78 Niger 11 Nigeria 8 Niue – Norway 173 Occupied Palestinian Territory 95 Oman 137 Pakistan 43 Palau 145 Panama 104 Papua New Guinea 56 Paraguay 91 Peru 112 Philippines 94 Poland 156 Portugal 173 Qatar 126 Republic of Korea 166 Romania 126 Russian Federation 126 Rwanda 9 Saint Kitts and Nevis 117 Saint Lucia 117 Saint Vincent and the Grenadines 114 Samoa 95 San Marino 173 Sao Tome and Principe 38 Saudi Arabia 97 Senegal 31 Serbia 151 Seychelles 134 Sierra Leone 1 Singapore 189 Slovakia 151 Slovenia 173 Solomon Islands 50 Somalia 19 South Africa 60 Spain 173 Sri Lanka 110 Sudan 34 Suriname 91 Swaziland 40 Sweden 189 Switzerland 166 Syrian Arab Republic 123 Tajikistan 54 Thailand 156 The former Yugoslav Republic of Macedonia 123 Timor-Leste 39 Togo 37 Tonga 104 Trinidad and Tobago 78 Tunisia 110 Turkey 104 Turkmenistan 65 Tuvalu 75 Uganda 21 Ukraine 99 United Arab Emirates 151

120

Under-5 mortality rate

Infant mortality rate (under 1)

Annual no. of births (thousands) 2007

Annual no. of under-5 deaths (thousands) 2007

Primary Total school net adult Life enrolment/ expectancy literacy GNI attendance rate at birth per capita (%) (%) (years) (US$) 2000–2007* 2000–2007* 2007 2007

% share of household income 1995–2005*

1990

2007

1990

2007

Neonatal mortality rate 2004

142 8 11 68 304 230 – 9 38 32 132 21 34 94 41 78 62 17 15 26 9 32 27 195 36 21

55 5 6 35 176 189 – 4 27 12 90 10 23 65 29 20 28 7 4 15 5 15 15 181 18 18

99 7 9 52 143 120 – 7 33 25 102 18 27 69 34 58 43 15 11 20 8 25 23 117 30 16

43 4 5 28 83 97 – 3 24 11 73 9 18 50 24 17 23 6 3 12 4 13 13 109 16 14

32 3 3 16 41 47 16 2 – 5 53 13 11 32 12 11 15 5 3 4 4 10 7 48 11 11

28196 16419 4179 5603 14226 148093 2 4698 4017 2595 163902 20 3343 6331 6127 27903 87960 38082 10623 841 48224 21438 142499 9725 50 165

796 184 57 140 701 5959 0 56 145 58 4446 0 70 190 153 584 2295 360 112 14 448 211 1515 435 1 3

44 1 0 5 123 1126 – 0 4 1 400 0 2 12 4 12 64 3 0 0 2 3 23 79 0 0

340 45820 28780 980 280 930 – 76450 1230 11120 870 8210 5510 850 1670 3450 1620 9840 18950 12000x 19690 6150 7560 320 9630 5530

64 80 80 73 57 47 – 80 73 76 65 – 75 57 72 71 72 76 78 76 79 72 65 46 – 74

57 – – 81 30 72 – – 93 84 55 – 93 58 94 91 93 99 95 90 – 98 100 65 – –

84s 98 99 90 38s 63 90 98 76 74 56s 96 99 – 94 96 91 96 98 94 98 93 91 86s 71 98

15 21 18 15 10 15 – 24 – – 22 – 9 12 9 11 15 19 17 – 22 21 17 14 – –

55 39 44 49 53 49 – 37 – – 41 – 60 57 62 57 51 43 46 – 38 40 47 53 – –

22 50 13 101 44 149 – 19 290 8 15 11 121 203 64 9 32 125 51 96 7 8 37 117 31

19 27 4 99 25 114 8 13 262 3 8 4 70 142 59 4 21 109 29 91 3 5 17 67 7

18 40 12 65 35 72 – 17 169 6 13 9 86 121 49 7 26 79 41 70 6 7 30 91 26

17 22 4 64 20 59 7 12 155 2 7 3 53 88 46 4 17 69 27 66 3 4 15 57 6

13 14 2 38 11 35 9 7 56 1 4 2 23 49 17 2 8 27 17 40 2 3 7 38 9

120 187 31 158 24735 12379 9858 87 5866 4436 5390 2002 496 8699 48577 44279 19299 38560 458 1141 9119 7484 19929 6736 63884

2 5 0 5 618 439 127 3 268 37 53 18 15 377 1092 476 292 1230 9 33 102 69 535 186 932

0 0 0 0 15 50 1 0 70 0 0 0 1 54 64 2 6 134 0 3 0 0 9 12 7

4210 2430 45130 870 15440 820 4730 8960 260 32470 11730 20960 730 140x 5760 29450 1540 960 4730 2580 46060 59880 1760 460 3400

71 71 – 65 73 63 74 – 42 80 75 78 63 48 50 81 72 58 70 40 81 82 74 67 70

– 99 – 88 85 43 – 92 38 94 – 100 – – 88 97 92 61 90 80 – – 83 100 94

90 90 – 98 – 58s 95 99 69s – 92 95 62 22s 88 100 98 54s 96 84s 95 89 95 89s 94

– – – – – 17 21 – 17 14 24 21 – – 10 19 18 – – 13 23 20 – 20 16

– – – – – 48 38 – 47 49 35 40 – – 62 42 48 – – 56 37 41 – 42 49

38 184 150 32 34 52 82 99 53 175 25 15

17 97 100 23 35 21 23 50 37 130 24 8

33 138 89 26 30 41 67 81 42 106 22 13

15 77 65 19 31 18 21 45 30 82 20 7

9 29 39 12 10 13 16 37 21 30 7 4

2038 1155 6585 100 1333 10327 74877 4965 11 30884 46205 4380

22 48 245 3 20 173 1381 109 0 1445 419 71

0 5 25 0 1 4 32 5 0 188 10 1

3460 1510 360 2320 14100 3200 8020 b – 340 2550 26210x

74 61 58 73 70 74 72 63 – 51 68 79

97 – 53 99 99 78 89 100 – 74 100 90

92 75s 80 96 98s 96 91 99s 100 82s 97s 88

17 – – – 17x 16 15 16 – 15 23 –

46 – – – 45x 47 50 48 – 53 37 –

Total population (thousands) 2007

T H E S TAT E O F T H E W O R L D ’ S C H I L D R E N 2 0 0 9

lowest highest 40% 20%

…TABLE 1 Annual no. of births (thousands) 2007

Annual no. of under-5 deaths (thousands) 2007

Primary Total school net adult Life enrolment/ expectancy literacy GNI attendance rate at birth per capita (%) (%) (years) (US$) 2000–2007* 2000–2007* 2007 2007

% share of household income 1995–2005*

1990

2007

1990

2007

Neonatal mortality rate 2004

160 29 151 132 68 81

9 157 11 25 74 62

6 116 8 14 41 34

8 96 9 21 61 48

5 73 7 12 36 28

3 35 4 7 26 18

60769 40454 305826 3340 27372 226

722 1600 4281 51 623 7

4 186 34 1 26 0

42740 400 46040 6380 730 1840

79 52 78 76 67 70

– 72 – 98 97 78

98 73s 92 100 100s 87

18 19 16 14 19 –

44 42 46 51 45 –

114 126 48 13 43

32 56 127 163 95

19 15 73 170 90

27 40 90 99 62

17 13 55 103 59

11 12 41 40 36

27657 87375 22389 11922 13349

597 1653 860 473 373

11 25 63 80 34

7320 790 870 800 340

74 74 62 42 43

93 90x 59 68x 91

91 95 75 57s 88

12 18 19 12 13

52 45 45 55 56

148 123 169 46 78 27 26 25 6 74 130 68

109 101 116 58 89 42 44 44 8 71 112 64

89 80 97 36 59 22 22 22 5 51 84 47

41 36 45 25 41 18 13 16 3 31 40 28

767218 378926 388292 389176 1567187 1984273 566646 405992 974913 5432837 804450 6655406

30323 14268 16056 9726 37986 29773 11381 5560 11021 122266 29076 135770

4480 1761 2719 445 2985 799 302 138 66 9109 3775 9216

965 1245 698 3666 889 2742 5628 5686 38579 2405 491 7952

50 50 50 69 64 72 73 68 79 67 55 68

62 65 60 75 63 93 91 97 – 79 57 81

64 68 60 86 80 97 93 93 96 83 65 85

13 12 16 18 19 16 11 20 20 15 15 19

54 58 48 45 46 46 56 42 40 50 50 42

Under-5 mortality rank

United Kingdom United Republic of Tanzania United States Uruguay Uzbekistan Vanuatu Venezuela (Bolivarian Republic of) Viet Nam Yemen Zambia Zimbabwe

Under-5 mortality rate

Infant mortality rate (under 1)

Total population (thousands) 2007

lowest highest 40% 20%

SUMMARY INDICATORS Sub-Saharan Africa Eastern and Southern Africa West and Central Africa Middle East and North Africa South Asia East Asia and Pacific Latin America and Caribbean CEE/CIS Industrialized countries§ Developing countries§ Least developed countries§ World

186 165 206 79 125 56 55 53 10 103 179 93

§ Also includes territories within each country category or regional group. Countries and territories in each country category or regional group are listed on page 152.

DEFINITIONS OF THE INDICATORS

MAIN DATA SOURCES

Under-five mortality rate – Probability of dying between birth and exactly five years of age, expressed per 1,000 live births. Infant mortality rate – Probability of dying between birth and exactly one year of age, expressed per 1,000 live births. Neonatal mortality rate – Probability of dying during the first 28 completed days of life, expressed per 1,000 live births. GNI per capita – Gross national income (GNI) is the sum of value added by all resident producers, plus any product taxes (less subsidies) not included in the valuation of output, plus net receipts of primary income (compensation of employees and property income) from abroad. GNI per capita is gross national income divided by midyear population. GNI per capita in US dollars is converted using the World Bank Atlas method. Life expectancy at birth – Number of years newborn children would live if subject to the mortality risks prevailing for the cross section of population at the time of their birth. Adult literacy rate – Number of literate persons aged 15 and above, expressed as a percentage of the total population in that age group. Primary school net enrolment/attendance ratios – Number of children enrolled in or attending primary school, expressed as a percentage of the total number of children of primary school age. The indicator is either the primary school net enrolment ratio or the primary school net attendance ratio. In general, if both indicators are available, the primary school net enrolment ratio is preferred unless the data for primary school attendance is considered to be of superior quality. Definitions for both the primary school net enrolment ratio and the primary school net attendance ratio are given in Table 5, p. 134. Income share – Percentage of income received by the 20 per cent of households with the highest income and by the 40 per cent of households with the lowest income.

NOTES

a: low income ($935 or less). b: lower-middle income ($936 to $3,705). c: upper-middle income ($3,706 to $11,455). d: high income ($11,456 or more).

Under-five and infant mortality rates – UNICEF, World Health Organization, United Nations Population Division and United Nations Statistics Division. Neonatal mortality rate – World Health Organization using vital registration systems and household surveys. Total population – United Nations Population Division. Births – United Nations Population Division. Under-five deaths – UNICEF. GNI per capita – World Bank. Life expectancy – United Nations Population Division. Adult literacy – UNESCO Institute for Statistics (UIS), including the Education for All 2000 Assessment. School enrolment/attendance – UIS, Multiple Indicator Cluster Surveys (MICS) and Demographic and Health Surveys (DHS). Household income – World Bank.

– Data not available. x Data refer to years or periods other than those specified in the column heading, differ from the standard definition or refer to only part of a country. Such data are not included in the calculation of regional and global averages. s National household survey data. * Data refer to the most recent year available during the period specified in the column heading.

S TAT I S T I C A L TA B L E S

121

TABLE 2. NUTRITION % of under-fives (2000–2007*) suffering from: % of children (2000–2007*) who are:

Countries and territories

% of infants with low birthweight 2000–2007*

Afghanistan Albania Algeria Andorra Angola Antigua and Barbuda Argentina Armenia Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bhutan Bolivia Bosnia and Herzegovina Botswana Brazil Brunei Darussalam Bulgaria Burkina Faso Burundi Cambodia Cameroon Canada Cape Verde Central African Republic Chad Chile China Colombia Comoros Congo Cook Islands Costa Rica Côte d’Ivoire Croatia Cuba Cyprus Czech Republic Democratic People’s Republic of Korea Democratic Republic of the Congo Denmark Djibouti Dominica Dominican Republic Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Ethiopia

122

exclusively breastfed (< 6 months)

underweight† (WHO ref. pop.)

breastfed with complementary food (6–9 months)

still breastfeeding (20–23 months)

moderate & severe

underweight† (NCHS/WHO) moderate severe & severe

wasting (NCHS/ WHO)

stunting (NCHS/ WHO)

moderate & severe

moderate & severe

Vitamin A supplementation coverage rate (6–59 months) 2007

% of households consuming full at least one iodized salt dose‡ (%) coverageΔ (%) 2000–2007*

– 7 6 – 12 5 7 8 7 7 12 7x 8x 22 14 4 8x 8 15 15x 7 5 10 8 10x 10 16 11 14 11 6 13x 13 22 6 2 9 25 13 3 7 17 5 5 – 7

– 40 7 – 11 – – 33 – – 12 – 34x 37 – 9 – 10 43 – 54 18 34 – – – 7 45 60 21 – 57x 23 2 85k 51 47 21 19 19x 35x 4 23x 26 – –

29 69 39 – 77 – – 57 – – 44 – 65x 52 – 38 – – 72 – 74 29 57 30x – – 50 88 82 64 – 64x 55 77 – 32 65 34 78 – 47x 54 – 47 – –

54 22 22 – 37 – 28 15 – – 16 – 41x 89 – 4 – 27 57 – 46 10 11 17x – – 85 – 54 21 – 13x 47 65 – 15 32 45 21 – 12x 37 – 16 – –

33y 6 3 – 26 – 2y 4 – – 8 – – 41 – 1 – – 18 14x 5 1 11 4 – – 32 35 28 16 – – 24 – – 6 5y – 11 – – 16 – – – –

39y 8 4 – 31 – 4y 4 – – 10 – 9x 46 – 1 – 6 23 19x 8 2 13 5 – – 37 39 36 19 – – 29 37 1y 7 7y 25 14 10x 5x 20 1x 4 – –

12y 1 1 – 8 – – 0 – – 2 – 2x – – 0 – 1 5 3x 1 0 2 – – – 14 14 7 5 – – 8 14 – – 1y – 3 – 0x 4 – 0 – –

7y 7 3 – 6 – 1y 5 – – 5 – 5x 16 – 1 – 1 7 3x 1 3 5 – – – 23 7 7 6 – – 10 14 0y – 1y 8 7 – 2x 7 1x 2 – –

54y 22 11 – 45 – 4y 13 – – 21 – 10x 36 – 3 – 18 38 40x 27 7 23 – – – 35 53 37 30 – – 38 41 1y 11 12y 44 26 – 6x 34 1x 5 – –

94 – – – 36 – – – – – 95 – – 95 – – – – 73 48 – – – – – – 95 83 76 – – – 78 54 – – – 93 95 – – 63 – – – –

92 – – – 36 – – – – – 95w – – 94 – – – – 73 48 – – – – – – 73 83 76 – – – 78 54 – – – 0 79 – – 4 – – – –

28 60 61 – 35 – 90x 97 – – 54 – – 84 – 55 – 90x 55 96 90 62 66 88 – 100 34 98 73 49 – 0x 62 56 100x 94 92x 82 82 – 92x 84 90x 88 – –

7 12 5 10 9 11 16x 14 7 13 14 4 20

65 36 – 1 – 4 40 38 24 24 52 – 49

31 82 – 23 – 36 77 67 76 – 43 – 54

37 64 – 18 – 15 23 37 43 – 62 – –

18y 28 – 24 – – 6 5 6y – 35 – 33

23y 31 – 29 – 5 9 6 10y 19 40 – 38

8y 9 – 10 – 1 1 1 1y 4 12 – 11

7y 13 – 21 – 1 2 4 1y 7 13 – 11

37y 38 – 33 – 7 23 18 19y 39 38 – 47

95 79 – 95 – – – 87 20 – 51 – 88

95 79 – 94 – – – 87w 13 – 50 – 86

40 72 – 0 – 19 99x 78 62 33 68 – 20

T H E S TAT E O F T H E W O R L D ’ S C H I L D R E N 2 0 0 9

…TABLE 2 % of under-fives (2000–2007*) suffering from: % of children (2000–2007*) who are: % of infants with low birthweight 2000–2007*

Fiji Finland France Gabon Gambia Georgia Germany Ghana Greece Grenada Guatemala Guinea Guinea-Bissau Guyana Haiti Holy See Honduras Hungary Iceland India Indonesia Iran (Islamic Republic of) Iraq Ireland Israel Italy Jamaica Japan Jordan Kazakhstan Kenya Kiribati Kuwait Kyrgyzstan Lao People’s Democratic Republic Latvia Lebanon Lesotho Liberia Libyan Arab Jamahiriya Liechtenstein Lithuania Luxembourg Madagascar Malawi Malaysia Maldives Mali Malta Marshall Islands Mauritania Mauritius Mexico Micronesia (Federated States of) Moldova Monaco Mongolia Montenegro Morocco Mozambique Myanmar Namibia Nauru

10x 4 7x 14 20 5 7x 9 8x 9 12 12 24 13 25 – 10 9 4 28 9 7x 15 6x 8 6x 12 8 12 6 10 5x 7x 5 14 5 6 13 – 7x – 4 8 17 14 9 22 19 6 12x – 14 8 18 6 – 6 4 15 15 15 14 –

exclusively breastfed (< 6 months)

47x – – 6 41 11 – 54 – 39x 51 27 16 11 41 – 30 – – 46 40 23 25 – – – 15 – 22 17 13 80x 12x 32 23 – 27 36 35 – – – – 67 57 29x 10 38 – 63x 20 21 38x 60x 46 – 57 19 31 30 15 24 –

underweight† (WHO ref. pop.)

breastfed with complementary food (6–9 months)

still breastfeeding (20–23 months)

moderate & severe

– – – 62 44 35 – 58 – – 67 41 35 42 87 – 69 – – 57 75 68 51 – – – 36 – 66 39 84 – 26x 49 10 – 35 79 70 – – – – 78 89 – 85 30 – – 78 – 36x – 18 – 57 35 66 80 66 72 –

– – – 9 53 20 – 56 – – 47 71 61 31 35 – 48 – – 77 59 58 36 – – – 24 – 11 16 57 – 9x 26 47 – 11 60 45 23x – – – 64 72 12x – 56 – – 57 – 21x – 2 – 65 13 15 65 67 28 –

– – – 8 16 2 – 13 – – 18y 22 15 10 18 – 8 – – 43 23 – 6 – – – 3 – – 4 16 – – 2 31 – – – 23 4x – – – 36 15 – – 27 – – – – 3 – – – 5 2 9 20 – – –

underweight† (NCHS/WHO) moderate severe & severe

– – – 12 20 2 – 18 – – 23y 26 19 12 22 – 11 – – 46 28 11x 8 – – – 4 – 4 4 20 13x 10x 3 37 – 4 20 26 5x – – – 42 21 8 30 32 – – 32 15x 5 15x 4 – 6 3 10 24 32 24 –

– – – 2 4 0 – 3 – – 4y 7 4 2 6 – 1 – – – 9 2x 1 – – – – – 1 1 4 – 3x 0 9 – – 4 8 1x – – – 11 4 1 7 10 – – 10 2x – – 1 – 1 1 2 6 7 5 –

wasting (NCHS/ WHO)

stunting (NCHS/ WHO)

moderate & severe

moderate & severe

– – – 3 6 2 – 5 – – 2y 9 7 8 9 – 1 – – 19 – 5x 5 – – – 4 – 2 4 6 – 11x 4 7 – 5 4 6 3x – – – 13 4 – 13 13 – – 13 14x 2 – 4 – 2 3 9 4 9 9 –

– – – 21 22 10 – 22 – – 49y 35 41 14 24 – 25 – – 38 – 15x 21 – – – 3 – 9 13 30 – 24x 14 40 – 11 38 39 15x – – – 48 46 – 25 34 – – 35 10x 13 – 8 – 21 5 18 41 32 24 –

Vitamin A supplementation coverage rate (6–59 months) 2007

% of households consuming full at least one iodized salt dose‡ (%) coverageΔ (%) 2000–2007*

– – – 90 93 – – 95 – – 33 95 66 – – – – – – 53 87 – – – – – – – – – 22 – – 95 83 – – 85 85 – – – – 95 90 – 62 95 – 39 95 – – – – – 95 – – 48 94 – –

– – – 0 82 – – 77 – – 29 94 64 – – – – – – 33 87 – – – – – – – – – 15 – – 95 69 – – 38 85 – – – – 95 90 – 62 89 – 39 89 – – – – – 94 – – 42 93 – –

S TAT I S T I C A L TA B L E S

31x – – 36 7 87 – 32 – – 40 51 1 – 3 – 80x – – 51 73 99 28 – – – 100x – 88 92 91 – – 76 75 – 92 91 – 90x – – – 75 50 – 44 79 – – 2 0x 91 – 60 – 83 71 21 54 60 63 –

123

TABLE 2. NUTRITION % of under-fives (2000–2007*) suffering from: % of children (2000–2007*) who are:

Countries and territories

% of infants with low birthweight 2000–2007*

Nepal Netherlands New Zealand Nicaragua Niger Nigeria Niue Norway Occupied Palestinian Territory Oman Pakistan Palau Panama Papua New Guinea Paraguay Peru Philippines Poland Portugal Qatar Republic of Korea Romania Russian Federation Rwanda Saint Kitts and Nevis Saint Lucia Saint Vincent and the Grenadines Samoa San Marino Sao Tome and Principe Saudi Arabia Senegal Serbia Seychelles Sierra Leone Singapore Slovakia Slovenia Solomon Islands Somalia South Africa Spain Sri Lanka Sudan Suriname Swaziland Sweden Switzerland Syrian Arab Republic Tajikistan Thailand The former Yugoslav Republic of Macedonia Timor-Leste Togo Tonga Trinidad and Tobago Tunisia Turkey Turkmenistan Tuvalu Uganda

124

exclusively breastfed (< 6 months)

underweight† (WHO ref. pop.)

breastfed with complementary food (6–9 months)

still breastfeeding (20–23 months)

moderate & severe

underweight† (NCHS/WHO) moderate severe & severe

wasting (NCHS/ WHO)

stunting (NCHS/ WHO)

moderate & severe

moderate & severe

Vitamin A supplementation coverage rate (6–59 months) 2007

% of households consuming full at least one iodized salt dose‡ (%) coverageΔ (%) 2000–2007*

21 – 6 12 27 14 0 5 7 9 19x 9x 10 11x 9 10 20 6 8 10x 4 8 6 6 9 11 8 4x – 8 11x 19 5 – 24 8 7 6 13x – 15x 6x 22 31x 13 9 4x 6x 9 10 9

53 – – 31 9 17 – – 27 – 37 59x 25x 59x 22 63 34 – – 12x – 16 – 88 56x – – – – 60 31x 34 15 – 8 – – – 65 9 7 – 53 16 9 32 – – 29 25 5

75 – – 83 73 64 – – – 91 36 – 38x 74x 60 82 58 – – 48x – 41 – 69 – – – – – 60 60x 61 39 – 52 – – – – 15 46 – – 47 25 77 – – 37 15 43

95 – – 43 – 34 – – – 73 55 – 21x 66x – 47 32 – – 21x – – – 77 – – – – – 18 30x 42 8 – 57 – – – – 35 – – 73 40 11 31 – – 16 34 19

39 – – – 39 24 – – – 13x 31 – 6x – 3 6 21 – – – – 4 – 18 – – – – – 7 – 14 1 – 25 3 – – 16x 32 10x – 23y – 7 5 – – 9 14 7

45 – – 7 44 29 – – 3 18x 38 – 8x – 4 5 28 – – 6x – 3 3x 23 – – – – – 9 14x 17 2 – 30 3 – – 21x 36 12x – 29y 41 10 7 – – 10 17 9

10 – – 1 15 9 – – 0 1x 13 – 1x – – 1 – – – – – 0 1x 4 – – – – – 1 3x 3 0 – 8 0 – – – 12 2x – – 15 1 – – – 2 4 0

12 – – 1 10 9 – – 1 7x 13 – 1x – 1 1 6 – – 2x – 2 4x 4 – – – – – 8 11x 8 3 – 9 2 – – – 11 3x – 14y 16 5 2 – – 9 7 4

43 – – 17 50 38 – – 10 10x 37 – 18x – 14 30 30 – – 8x – 10 13x 45 – – – – – 23 20x 16 6 – 40 2 – – – 38 25x – 14y 43 8 24 – – 22 27 12

95 – – 95 95 77 – – – – 95 – – 7 – – 83 – – – – – – 89 – – – – – 55 – 94 – – 95 – – – – 89 – – – 90 – – – – – 92 –

95 – – – 95 55 – – – – 95 – – 7 – – 83 – – – – – – 76 – – – – – 48 – 94 – – 86 – – – – 4 – – – 90 – – – – – 92 –

63 – 83x 97 46 97 – – 86 61x 17 – 95x – 94 91 45 – – – – 74 35 88 100 – – – – 37 – 41 73 – 45 – – – – 1 62x – 94 1 – 80 – – 79 46 47

6 12 12 3 19 7 16x 4 5 14

37x 31 28 62x 13 47 21 11 – 60

8x 82 35 – 43 – 38 54 – 80

10x 35 44 – 22 22 24 37 – 54

2 – 22 – – – – 8 – 16

2 49 26 – 6 4 4 11 – 20

0 15 7 – 1 1 1 2 – 5

2 25 14 – 4 2 1 6 – 5

9 54 24 – 4 12 12 15 – 32

– 57 95 – – – – – – 64

– 50 64 – – – – – – –

94 60 25 – 28 97 64 87 – 96

T H E S TAT E O F T H E W O R L D ’ S C H I L D R E N 2 0 0 9

…TABLE 2 % of under-fives (2000–2007*) suffering from: % of children (2000–2007*) who are: % of infants with low birthweight 2000–2007*

Ukraine United Arab Emirates United Kingdom United Republic of Tanzania United States Uruguay Uzbekistan Vanuatu Venezuela (Bolivarian Republic of) Viet Nam Yemen Zambia Zimbabwe

4 15x 8 10 8 8 5 6 9 7 32x 12 11

underweight† (WHO ref. pop.)

underweight† (NCHS/WHO) moderate severe & severe

wasting (NCHS/ WHO)

stunting (NCHS/ WHO)

moderate & severe

moderate & severe

Vitamin A supplementation coverage rate (6–59 months) 2007

% of households consuming full at least one iodized salt dose‡ (%) coverageΔ (%) 2000–2007*

breastfed with complementary food (6–9 months)

still breastfeeding (20–23 months)

moderate & severe

6 34x – 41 – 54 26 50x 7x 17 – 61 22

49 52x – 91 – 32 45 – 50x 70 – 93 79

11 29x – 55 – 31 38 – 31x 23 – 42 –

– – – 17 1y – 4 – – – 42 15 12

1y 14x – 22 2y 5 5 – 5 20 46 19 17

0y 3x – 4 0y 1 1 – – 5 15 3 3

0y 15x – 3 0y 2 3 – 4 8 12 5 6

3y 17x – 38 1y 11 15 – 12 36 53 39 29

– – – 93 – – 84 – – 95 47 95 83

– – – 93 – – 84 – – 95w 47w 95 83

18 – – 43 – – 53 – 90x 93 30 77 91

31 40 23 26 44 43 – 20 – 39 37 38

68 71 65 57 53 45 – 41 – 55 64 55

51 56 47 36 75 27 – 23 – 51 64 50

24 23 24 11 41 11 5 – – 24 30 23

28 28 28 17 45 14 6 5 – 26 34 25

8 7 9 5 – – – 1 – – 9 –

9 7 10 8 18 – 2 2 – 11 11 11

38 40 36 26 38 16 16 12 – 30 40 28

77 73 81 – 64 86 – – – 72 84 72

67 68 67 – 50 86** – – – 62** 82 62**

64 56 72 60 51 86 83 50 – 70 55 68

exclusively breastfed (< 6 months)

SUMMARY INDICATORS Sub-Saharan Africa Eastern and Southern Africa West and Central Africa Middle East and North Africa South Asia East Asia and Pacific Latin America and Caribbean CEE/CIS Industrialized countries§ Developing countries§ Least developed countries§ World

15 14 15 12 27 6 9 6 7 15 17 14

§ Also includes territories within each country category or regional group. Countries and territories in each country category or regional group are listed on page 152.

DEFINITIONS OF THE INDICATORS Low birthweight – Percentage of infants weighing less than 2,500 grams at birth. Underweight (WHO ref. pop.) – Moderate and severe: Percentage of children aged 0–59 months who are below minus two standard deviations from median weight for age of the WHO Child Growth Standards published in 2006. Underweight (NCHS/WHO) – Moderate and severe: Percentage of children aged 0–59 months who are below minus two standard deviations from median weight for age of the National Center for Health Statistics (NCHS)/WHO reference population; Severe: Percentage of children aged 0–59 months who are below minus three standard deviations from median weight for age of the NCHS/WHO reference population. Wasting (NCHS/WHO) – Moderate and severe: Percentage of children aged 0–59 months who are below minus two standard deviations from median weight for height of the NCHS/WHO reference population. Stunting (NCHS/WHO) – Moderate and severe: Percentage of children aged 0–59 months who are below minus two standard deviations from median height for age of the NCHS/WHO reference population. Vitamin A – Percentage of children aged 6–59 months who received vitamin A supplements in 2007. Iodized salt consumption – Percentage of households consuming adequately iodized salt (15 parts per million or more).

NOTES

MAIN DATA SOURCES Low birthweight – Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), other national household surveys, data from routine reporting systems, UNICEF and WHO. Breastfeeding – DHS, MICS, other national household surveys and UNICEF. Underweight, wasting and stunting – DHS, MICS, other national household surveys, WHO and UNICEF. Vitamin A – UNICEF. Salt iodization – DHS, MICS, other national household surveys and UNICEF.

– x

Data not available. Data refer to years or periods other than those specified in the column heading, differ from the standard definition or refer to only part of a country. Such data are not included in the calculation of regional and global averages. y Data refer to years or periods other than those specified in the column heading, differ from the standard definition or refer to only part of a country. Such data are included in the calculation of regional and global averages. k Refers to exclusive breastfeeding for less than four months. w Identifies countries with national vitamin A supplementation programmes targeted towards a reduced age range. Coverage figure is reported as targeted. † In this year’s report, the ‘underweight’ statistics apply the same indicators to two different reference populations. Due to this difference, the data presented here are not strictly comparable with each other or with previous editions of this report. The WHO Child Growth Standards are gradually replacing the widely used NCHS/WHO reference population. For a more detailed description of this transition, please see the General note on the data on page 114.  The data for ‘wasting’ and ‘stunting’ refer to the same reference populations and are therefore comparable with each other and with data published in previous editions of this report. ‡ Refers to the percentage of children who received at least one dose in 2007 (the most recent coverage point at the time of reporting). Δ The percentage of children reached with two doses in 2007 is reported as the lower percentage of two coverage points. ‘0’ (zero) indicates that only one dose was delivered in 2007. * Data refer to the most recent year available during the period specified in the column heading. ** Excludes China.

S TAT I S T I C A L TA B L E S

125

TABLE 3. HEALTH % of population using improved drinking-water sources 2006

% of population using improved sanitation facilities 2006

% of routine EPI vaccines financed by government 2007

Countries and territories

total urban rural

total urban rural

total

% underfives with suspected % underpneumonia fives with % 1-year-old children immunized against: taken to an suspected newappropriate pneumonia TB DPT Polio Measles HepB Hib borns health-care receiving protected provider antibiotics corresponding vaccines: against 2000–2007* BCG DPT1β DPT3β polio3 measles HepB3 Hib3 tetanusλ

2000–2007*

% underfives sleeping under a mosquito net

Afghanistan Albania Algeria Andorra Angola Antigua and Barbuda Argentina Armenia Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bhutan Bolivia Bosnia and Herzegovina Botswana Brazil Brunei Darussalam Bulgaria Burkina Faso Burundi Cambodia Cameroon Canada Cape Verde Central African Republic Chad Chile China Colombia Comoros Congo Cook Islands Costa Rica Côte d’Ivoire Croatia Cuba Cyprus Czech Republic Democratic People’s Republic of Korea Democratic Republic of the Congo Denmark Djibouti Dominica Dominican Republic Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Ethiopia Fiji Finland

22 97 85 100 51 – 96 98 100 100 78 – – 80 100 100 – – 65 81 86 99 96 91 – 99 72 71 65 70 100 – 66 48 95 88 93 85 71 95 98 81 99 91 100 100

37 97 87 100 62 95 98 99 100 100 95 98 100 85 100 100 100 100 78 98 96 100 100 97 – 100 97 84 80 88 100 – 90 71 98 98 99 91 95 98 99 98 100 95 100 100

30 97 94 100 50 – 91 91 100 100 80 100 – 36 99 93 – – 30 52 43 95 47 77 – 99 13 41 28 51 100 – 31 9 94 65 78 35 20 100 96 24 99 98 100 99

25 97 87 100 16 – 83 81 100 100 70 100 – 32 100 97 – – 11 50 22 92 30 37 – 96 6 41 19 42 99 – 25 4 74 59 58 26 21 100 95 12 98 95 100 98

0 100 100 – 18 – – 33 88 – 72 100 100 60 – 100 – 100 11 0 100 95 100 – – 100 23 – 17 40 – 90 1 80 – – 100 0 100 100 – 31 100 99 36 100

77 98 99 – 88 – 99 94 – – 98 – – 97 – 98 – 99 88 94 93 98 99 99 96 98 99 84 90 81 – 86 74 40 98 94 93 77 86 99 91 94 99 99 – 99

93 98 98 98 99 99 94 96 97 95 97 99 97 97 93 99 99 98 84 92 94 96 98 98 99 96 99 86 87 90 97 83 65 45 95 94 97 79 80 99 90 93 98 97 99 98

83 98 95 96 83 99 96 88 92 85 95 95 97 90 93 95 99 96 67 95 81 95 97 98 99 95 99 74 82 82 94 81 54 20 94 93 93 75 80 99 89 76 96 93 97 99

83 99 95 96 83 98 94 90 92 85 97 95 97 96 93 90 99 97 64 93 79 95 97 99 99 95 99 64 82 81 90 81 47 36 94 94 93 75 80 99 89 75 96 99 97 99

70 97 92 94 88 99 99 92 94 79 97 96 99 88 75 99 92 96 61 95 81 96 90 99 97 96 94 75 79 74 94 74 62 23 91 94 95 65 67 98 90 67 96 99 87 97

83 98 90 91 83 97 92 85 94 85 97 93 97 90 93 91 94 96 67 95 81 94 85 95 99 95 99 74 82 82 14 79 – – 94 92 93 75 80 99 89 76 95 93 93 99

– – – 95 83 99 96 – 94 85 – 95 97 – 93 – 98 96 67 – 81 95 – 98 99 – 99 74 – – 94 – – – 94 – 93 – – – 88 – 96 97 90 99

73 87 70 – 81 – – – – – – 93 66 91 – – – 85 93 86 71 – 78 93 65 – 80 78 87 81 – 77 54 60 – – 78 89 90 – – 76 – – – –

28 45 53 – 58 – – 36 – – 36 – – 30 – 90 – 71 36 – 52 91 14 46x – – 39 38 48 35 – 51 32 12 – – 62 49 48 – – 35 – – – –

– 38 59 – – – – 11 – – – – – 22 – 67 – 44 – – – 73 – 15x – – 15 26 – 38 – – 39 – – – – – – – – 19 – – – –

48 50 24 – 32 – – 59 – – 45 – – 49 – 54 – – 42 – 54 53 7 28x – – 42 23 50 22 – – 47 27 – – 39 31 39 – – 45 – – – –

– – – – 21 – – – – – 12x – – – – – – – 47 – – – – – – – 18 13 88 27 – – 33 27x – – 24x 36x 68 – – 17 – – – –

– – – – 18 – – – – – 1x – – – – – – – 20 – – – – – – – 10 8 4 13 – – 15 1x – – – 9x 6 – – 3 – – – –

– – – – 29 – – – – – 1x – – – – – – – 54 – – – – – – – 48 30 0 58 – – 57 53 – – – 63x 48 – – 36 – – – –

100 46 100 92 – 95 95 98 84 43 60 100 42 47 100

100 100 82 29 100 100 98 54 100 – 97 91 98 91 99 98 94 68 45 42 74 57 100 99 96 31 43 51 100 100

– – – 31 42 25 100 100 100 67 76 11 – – – 79 81 74 84 91 72 66 85 52 86 90 80 51 60 46 5 14 3 95 96 94 11 27 8 71 87 55 100 100 100

– 0 100 0 100 – – 100 100 100 – 100 0 100 100

96 94 – 90 90 92 99 98 93 73 99 98 72 90 97

93 95 97 92 93 87 99 98 98 65 99 98 81 82 99

92 87 75 88 96 79 99 98 96 33 97 95 73 83 99

99 87 75 88 93 83 99 98 96 39 96 95 71 84 97

99 79 89 74 96 96 99 97 98 51 95 96 65 81 98

92 87 – 25 93 70 99 98 96 – 97 95 73 84 –

– – 75 25 93 59 99 – 96 – – 95 73 83 97

91 81 – 77 – 85 67 85 87 62 80 – 85 94 –

93 42 – 62 – 64 – 63 62 – 44 – 19 – –

– – – 43 – – – – – – – – 5 – –

– 17 – 33 – 42 – 27 – 36 54 – 15 – –

– 19 – 9 – – – – – 15x 12x – 35 – –

– 6 – 1 – – – – – 1x 4x – 33 – –

– 30 – 10 – – – – – 49x 4x – 10 – –

126

17 97 81 100 39 – 80 96 100 100 59 – – 78 100 99 – – 57 79 69 98 90 58 – 97 66 70 61 47 99 – 51 40 72 81 77 81 35 88 96 66 98 78 100 100

45 98 98 100 79 98 92 96 100 100 90 100 100 48 99 91 – – 59 71 54 99 60 84 – 100 41 44 62 58 100 – 40 23 97 74 85 49 19 100 96 38 99 99 100 100

Immunization 2007

T H E S TAT E O F T H E W O R L D ’ S C H I L D R E N 2 0 0 9

% underfives with diarrhoea receiving oral rehydration and continued feeding

Malaria 2003–2007* % under- % underfives fives with sleeping fever under a receiving treated antimosquito malarial net drugs

…TABLE 3

France Gabon Gambia Georgia Germany Ghana Greece Grenada Guatemala Guinea Guinea-Bissau Guyana Haiti Holy See Honduras Hungary Iceland India Indonesia Iran (Islamic Republic of) Iraq Ireland Israel Italy Jamaica Japan Jordan Kazakhstan Kenya Kiribati Kuwait Kyrgyzstan Lao People’s Democratic Republic Latvia Lebanon Lesotho Liberia Libyan Arab Jamahiriya Liechtenstein Lithuania Luxembourg Madagascar Malawi Malaysia Maldives Mali Malta Marshall Islands Mauritania Mauritius Mexico Micronesia (Federated States of) Moldova Monaco Mongolia Montenegro Morocco Mozambique Myanmar Namibia Nauru

% of population using improved drinking-water sources 2006

% of population using improved sanitation facilities 2006

% of routine EPI vaccines financed by government 2007

total urban rural

total urban rural

total

% underfives with suspected % underpneumonia fives with % 1-year-old children immunized against: taken to an suspected newappropriate pneumonia TB DPT Polio Measles HepB Hib borns health-care receiving protected provider antibiotics corresponding vaccines: against 2000–2007* BCG DPT1β DPT3β polio3 measles HepB3 Hib3 tetanusλ

100 87 86 99 100 80 100 – 96 70 57 93 58 – 84 100 100 89 80 – 77 – 100 – 93 100 98 96 57 65 – 89 60 99 100 78 64 – – – 100 47 76 99 83 60 100 – 60 100 95 94 90 – 72 98 83 42 80 93 –

– 36 52 93 100 10 98 97 84 19 33 81 19 – 66 100 100 28 52 – 76 – – – 83 100 85 97 42 33 – 93 48 78 – 36 32 97 – – 100 12 60 94 59 45 – – 24 94 81 25 79 – 50 91 72 31 82 35 –

10 100 8 43 – 54 – 100 – 70 0 100 0 – 100 100 – 100 92 100 100 – – – 100 – 100 – – 100 – 50 13 100 100 1 1 100 – 100 100 26 33 – 100 100 80 3 100 100 – 5 – – 19 100 100 – – 100 100

84 89 95 96 – 99 88 – 97 91 89 97 75 – 91 99 – 85 91 99 92 93 – – 87 – 90 99 92 90 – 98 56 99 – 96 86 99 – 99 – 94 95 99 99 77 – 92 92 98 99 82 98 90 99 98 96 87 89 95 99

100 95 91 100 100 90 100 97 99 91 82 98 70 – 95 100 100 96 89 99 88 100 100 100 97 100 99 99 85 77 – 99 86 100 100 93 72 – – – 100 76 96 100 98 86 100 – 70 100 98 95 96 100 90 100 100 71 80 99 –

100 47 81 97 100 71 99 – 94 59 47 91 51 – 74 100 100 86 71 – 56 – 100 – 88 100 91 91 49 53 – 83 53 96 100 74 52 – – – 100 36 72 96 76 48 100 – 54 100 85 94 85 – 48 96 58 26 80 90 –

– 37 50 94 100 15 99 96 90 33 48 85 29 – 78 100 100 52 67 – 80 – 100 – 82 100 88 97 19 46 – 94 87 82 100 43 49 97 – – 100 18 51 95 100 59 100 – 44 95 91 61 85 100 64 96 85 53 85 66 –

– 30 55 92 100 6 97 97 79 12 26 80 12 – 55 100 100 18 37 – 69 – – – 84 100 71 98 48 20 – 93 38 71 – 34 7 96 – – 100 10 62 93 42 39 – – 10 94 48 14 73 – 31 86 54 19 81 18 –

Immunization 2007

98 69 90 99 98 96 96 91 94 96 83 96 83 – 95 99 97 81 91 99 84 97 98 98 85 99 99 97 89 99 99 98 59 98 90 95 99 98 – 99 99 92 96 88 99 83 84 99 92 97 99 92 95 99 95 98 98 88 89 88 99

98 38 90 98 97 94 88 99 82 75 63 94 53 – 86 99 97 62 75 99 62 92 96 96 85 98 98 93 81 94 99 94 50 98 74 83 88 98 – 95 99 82 87 96 98 68 74 93 75 97 98 79 92 99 95 92 95 72 86 86 99

98 31 85 88 97 94 87 99 82 62 64 94 52 – 86 99 97 62 83 98 66 92 95 96 85 95 98 94 76 93 99 94 46 98 74 80 84 98 – 95 99 81 88 96 98 62 76 91 75 96 98 79 94 99 99 92 95 70 84 81 99

87 55 85 97 94 95 88 98 93 71 76 96 58 – 89 99 95 67 80 97 69 87 97 87 76 98 95 99 80 93 99 99 40 97 53 85 95 98 – 97 96 81 83 90 97 68 79 94 67 98 96 92 96 99 98 90 95 77 81 69 99

29 38 90 94 87 94 88 99 82 83 – 94 – – 86 – – 6 74 97 58 – 99 96 85 – 98 94 81 96 99 94 50 97 74 85 – 98 – 96 87 82 87 87 98 68 82 93 74 97 98 90 95 99 98 90 95 72 85 – 99

87 – 90 – 94 94 88 99 82 – – 94 – – 86 99 97 – – – – 92 95 95 85 – 98 – 81 – 99 – – 97 74 – – 56 – 95 99 – 87 89 – 44 72 83 – 96 98 79 – 99 78 89 90 – – – –

– 67 90 – – 88 – – 80 95 92 91 43 – 94 – – 86 83 83 69 – – – 54 – 87 – 74 – 83 – 47 – – 76 89 – – – – 72 86 89 94 89 – – 60 86 87 – – – – – 85 82 91 82 –

– 48 69 74 – 34 – – 64 42 57 64 31 – 56 – – 69 61 93 82 – – – 75 – 75 71 49 – – 62 36 – 74 59 70 – – – – 48 52 – 22 38 – – 45 – – – 60 – 63 89 38 55 66 72 –

– – 61 56 – 33 – – – – 42 20 3 – 54 – – 13 – – 82 – – – 52 – 87 32 – – – 45 – – – – – – – – – – 30 – – – – – 24 – – – – – 71 57 – – – 14 –

% underfives with diarrhoea receiving oral rehydration and continued feeding

Malaria 2003–2007*

2000–2007*

% underfives sleeping under a mosquito net

– 44 38 37 – 29 – – 22x 38 25 40 43 – 49 – – 33 56 – 64 – – – 39 – 44 48 33 – – 22 37 – – 53 – – – – – 47 27 – – 38 – – 9 – – – 48 – 47 64 46 47 65 39 –

– – 63 – – 33 – – 6x 12 73 – – – – – – – 32x – 7x – – – – – – – 15 – – – 82x – – – – – – – – 30x 31 – – 41 – – 43 – – – – – – – – 10 – 12 –

% under- % underfives fives with sleeping fever under a receiving treated antimosquito malarial net drugs

– – 49 – – 22 – – 1x 1 39 – – – – – – – 0x – 0x – – – – – – – 6 – – – 18x – – – – – – – – 0x 25 – – 27 – – – – – – – – – – – – – 11 –

S TAT I S T I C A L TA B L E S

– – 63 – – 61 – – – 44 46 – 5 – 1 – – 8 1 – 1x – – – – – – – 27 – – – 9x – – – 59 – – – – 34 25 – – 32 – – 21 – – – – – – – – 15 – 10 –

127

TABLE 3. HEALTH

Nepal Netherlands New Zealand Nicaragua Niger Nigeria Niue Norway Occupied Palestinian Territory Oman Pakistan Palau Panama Papua New Guinea Paraguay Peru Philippines Poland Portugal Qatar Republic of Korea Romania Russian Federation Rwanda Saint Kitts and Nevis Saint Lucia Saint Vincent and the Grenadines Samoa San Marino Sao Tome and Principe Saudi Arabia Senegal Serbia Seychelles Sierra Leone Singapore Slovakia Slovenia Solomon Islands Somalia South Africa Spain Sri Lanka Sudan Suriname Swaziland Sweden Switzerland Syrian Arab Republic Tajikistan Thailand The former Yugoslav Republic of Macedonia Timor-Leste Togo Tonga Trinidad and Tobago Tunisia Turkey Turkmenistan Tuvalu Uganda

128

% of population using improved drinking-water sources 2006

% of population using improved sanitation facilities 2006

% of routine EPI vaccines financed by government 2007

total urban rural

total urban rural

total

% underfives with suspected % underpneumonia fives with % 1-year-old children immunized against: taken to an suspected newappropriate pneumonia TB DPT Polio Measles HepB Hib borns health-care receiving protected provider antibiotics corresponding vaccines: against 2000–2007* BCG DPT1β DPT3β polio3 measles HepB3 Hib3 tetanusλ

2000–2007*

% underfives sleeping under a mosquito net

89 100 – 79 42 47 100 100 89 – 90 89 92 40 77 84 93 – 99 100 – 88 97 65 99 98 – 88 – 86 – 77 99 – 53 – 100 – 70 29 93 100 82 70 92 60 100 100 89 67 98

88 100 – 63 32 30 100 100 88 – 87 94 81 32 52 63 88 – 100 100 – 76 88 61 99 98 – 87 – 83 – 65 98 – 32 – 100 – 65 10 82 100 79 64 79 51 100 100 83 58 97

27 100 – 48 7 30 100 – 80 – 58 67 74 45 70 72 78 – 99 100 – 72 87 23 96 – – 100 – 24 – 28 92 – 11 – 100 – 32 23 59 100 86 35 82 50 100 100 92 92 96

45 100 – 57 27 35 100 – 84 97 90 96 78 67 89 85 81 – 99 100 – 88 93 34 96 – – 100 – 29 100 54 96 – 20 100 100 – 98 51 66 100 89 50 89 64 100 100 96 95 95

24 100 – 34 3 25 100 – 69 – 40 52 63 41 42 36 72 – 98 100 – 54 70 20 96 – 96 100 – 18 – 9 88 100 5 – 99 – 18 7 49 100 86 24 60 46 100 100 88 91 96

29 – 100 49 0 – – 60 – – 31 0 – 100 – – 100 – – 8 – – – 24 – 100 100 – – 50 100 31 100 100 0 – 100 60 0 – 100 100 31 0 100 100 – 5 100 10 –

89 – – 99 64 69 99 – 99 99 89 – 99 67 68 97 90 93 98 96 96 99 96 89 97 99 99 91 – 98 96 99 98 99 82 98 98 – 84 52 99 – 99 83 – 99 18 – 99 83 99

85 98 91 94 58 72 99 97 99 99 90 99 99 76 86 95 90 99 94 96 95 98 98 96 99 99 99 85 92 99 97 99 97 99 77 97 99 98 84 58 99 98 99 95 96 97 99 97 99 88 99

82 96 88 87 39 54 99 93 99 99 83 94 88 60 66 80 87 99 97 94 91 97 98 97 99 99 99 71 92 97 96 94 94 99 64 96 99 97 79 39 97 96 98 84 84 95 99 93 99 86 98

82 96 88 88 55 61 99 93 99 97 83 94 88 61 65 95 87 99 96 97 91 96 99 98 99 99 99 71 92 98 96 93 93 99 64 96 99 98 77 39 97 96 98 84 84 95 99 94 99 85 98

81 96 79 99 47 62 99 92 99 97 80 91 89 58 80 99 92 98 95 92 92 97 99 99 99 94 99 63 92 86 96 84 95 99 67 95 99 96 78 34 83 97 98 79 85 91 96 86 98 85 96

82 – 88 87 – 41 99 – 99 99 83 91 88 59 66 80 88 98 97 94 91 99 98 97 99 99 99 69 92 99 96 94 99 99 64 95 99 – 79 – 97 96 98 78 84 95 4 – 98 84 96

– 96 78 87 – – 99 95 99 99 – 95 88 – 66 80 – 88 97 94 – – – 96 99 99 99 – 92 – 96 94 89 – 64 – 99 98 – – 97 96 – – 84 – 99 92 99 – –

83 – – 94 72 53 – – – 95 81 – – 60 81 82 65 – – – – – – 82 – – – 5 – – – 86 – – 94 – – – 84 68 72 – 91 72 93 86 – – 92 – 89

43 – – 57 47 33 – – 65 – 69 – – 75x 51x 67 55 – – – – – – 28 – – – – – 47 – 47 93 – 48 – – – – 13 75x – 58 57 74 73 – – 77 64 84

25 – – – – – – – – – 50 – – – 29x – – – – – – – – – – – – – – – – – 57 – 21 – – – – 32 – – – – 37 24 – – 71 41 65

37 – – 49 34 28 – – – – 37 – – – – 57 76 – – – – – – 24 – – – – – 63 – 43 71 – 31 – – – – 7 37x – – 38 28 22 – – 34 22 46

– – – – 15 6 – – – – 2 – – – – – – – – – – – – 16 – – – – – 53 – 28 – – 20 – – – – 18 – – 62 23x – 1 – – – 2 –

– – – – 7 1 – – – – – – – – – – – – – – – – – 13 – – – – – 42 – 16 – – 5 – – – – 11 – – 3 0x – 1 – – – 1 –

0 – – 2x 33 34 – – – – 3 – – – – – 0 – – – – – – 12 – – – – – 25 – 22 – – 52 – – – – 8 – – 0 50x – 1 – – – 2 –

100 100 99 62 77 56 59 86 40 100 100 100 94 97 93 94 99 84 97 98 95 – – – 93 94 92 64 90 60

89 41 12 96 92 85 88 – 89 33

92 64 24 98 92 96 96 – 93 29

81 32 3 96 92 64 72 – 84 34

100 – 97 56 – 100 100 77 10 15

95 74 91 99 – 99 94 99 99 90

98 76 94 99 90 99 98 99 99 90

95 70 88 99 88 98 96 98 97 64

96 70 78 99 90 98 96 98 97 59

96 63 80 99 91 98 96 99 95 68

96 – – 99 89 98 96 98 97 68

– – – 99 88 – 76 – – 68

– 59 82 – – 96 69 – – 85

93 24 23 – 74 43 41 83 – 73

74 – 26 – 34 – – 50 – 47

45 – 22 – 32 – 19x 25 – 39

– 48x 41 – – – – – – 22

– 8x 38 – – – – – – 10

– 47x 48 – – – – – – 61

94 100 100 90 91 65 100 100 90 – 95 79 96 88 94 92 96 100 99 100 97 99 100 82 99 98 – 90 – 88 97 93 99 100 83 100 100 – 94 63 100 100 98 78 97 87 100 100 95 93 99

Immunization 2007

T H E S TAT E O F T H E W O R L D ’ S C H I L D R E N 2 0 0 9

% underfives with diarrhoea receiving oral rehydration and continued feeding

Malaria 2003–2007* % under- % underfives fives with sleeping fever under a receiving treated antimosquito malarial net drugs

…TABLE 3 % of population using improved drinking-water sources 2006

% of population using improved sanitation facilities 2006

% of routine EPI vaccines financed by government 2007

total urban rural

total urban rural

total

% underfives with suspected % underpneumonia fives with % 1-year-old children immunized against: taken to an suspected newappropriate pneumonia TB DPT Polio Measles HepB Hib borns health-care receiving protected provider antibiotics corresponding vaccines: against 2000–2007* BCG DPT1β DPT3β polio3 measles HepB3 Hib3 tetanusλ

2000–2007*

% underfives sleeping under a mosquito net

93 97 97 98 – – 33 31 100 100 100 100 96 97 – – – – 65 88 46 88 52 55 46 63

83 95 – 34 99 99 95 – – 56 30 51 37

– – 100 75 – 100 64 100 – 87 31 24 0

97 98 – 89 – 99 99 82 83 94 64 92 76

98 97 97 89 99 98 94 79 78 92 94 92 77

98 92 92 83 96 94 96 76 71 92 87 80 62

99 94 92 88 92 94 98 76 73 92 87 77 66

98 92 86 90 93 96 99 65 55 83 74 85 66

96 92 – 83 92 94 98 76 71 67 87 80 62

11 92 92 – 94 94 – – 71 – 87 80 –

– – – 88 – – – 88 51 86 52 89 78

– – – 59 – – 68 – 72 83 – 68 25

– – – – – – 56 – – 55 38 – 8

– – – 53 – – 28 – 51 65 48 48 47

– – – 31 – – – – – 95 – 34 7

– – – 16 – – – – – 5 – 29 3

– – – 58 – – – – – 3 – 38 5

31 42 34 48 27 37 73 87 33 57 66 75 78 86 89 94 100 100 53 71 33 49 62 79

24 28 20 53 23 59 52 79 99 39 27 45

31 32 30 81 83 – – 81 – 70 28 71

83 86 80 92 87 93 96 96 – 89 85 89

85 88 82 96 84 93 95 97 98 89 89 90

73 78 69 91 69 89 92 96 96 80 79 81

74 77 71 92 69 91 93 97 94 81 79 82

73 77 69 89 71 90 93 97 93 81 76 82

67 77 58 89 29 87 89 96 65 65 75 65

34 55 16 32 – 2 90 23 84 21 28 26

76 81 71 77 85 – 83 – – 81 81 81

40 45 37 68 63 65** – 57 – 57** 42 57**

– – – – 18 – – – – – – –

31 33 29 39 35 61** – – – 38** 37 38**

21 24 18 – – – – – – – – –

12 19 8 – – – – – – – – –

34 29 38 – – – – – – – – –

97 97 97 Ukraine United Arab Emirates 100 100 100 United Kingdom 100 100 100 55 81 46 United Republic of Tanzania United States 99 100 94 Uruguay 100 100 100 88 98 82 Uzbekistan Vanuatu – – – Venezuela (Bolivarian Republic of) – – – 92 98 90 Viet Nam Yemen 66 68 65 Zambia 58 90 41 81 98 72 Zimbabwe

Immunization 2007

% underfives with diarrhoea receiving oral rehydration and continued feeding

Malaria 2003–2007* % under- % underfives fives with sleeping fever under a receiving treated antimosquito malarial net drugs

SUMMARY INDICATORS Sub-Saharan Africa Eastern and Southern Africa West and Central Africa Middle East and North Africa South Asia East Asia and Pacific Latin America and Caribbean CEE/CIS Industrialized countries§ Developing countries§ Least developed countries§ World

58 81 59 88 56 77 87 94 87 94 88 96 92 97 95 99 100 100 84 94 62 81 87 96

46 48 41 78 84 81 73 88 98 76 55 78

§ Also includes territories within each country category or regional group. Countries and territories in each country category or regional group are listed on page 152.

MAIN DATA SOURCES

DEFINITIONS OF THE INDICATORS Government funding of vaccines – Percentage of vaccines that are routinely administered in a country to protect children and are financed by the national government (including loans). EPI – Expanded programme on immunization: The immunizations in this programme include those against tuberculosis (TB); diphtheria, pertussis (whooping cough) and tetanus (DPT); polio; and measles, as well as vaccination of pregnant women to protect babies against neonatal tetanus. Other vaccines, e.g., against hepatitis B (HepB), Haemophilus influenzae type b (Hib) or yellow fever, may be included in the programme in some countries. BCG – Percentage of infants who received bacille Calmette-Guérin (vaccine against tuberculosis). DPT1 – Percentage of infants who received their first dose of diphtheria, pertussis and tetanus vaccine. DPT3 – Percentage of infants who received three doses of diphtheria, pertussis and tetanus vaccine. HepB3 – Percentage of infants who received three doses of hepatitis B vaccine. Hib3 – Percentage of infants who received three doses of Haemophilus influenzae type b vaccine. % under-fives with suspected pneumonia taken to an appropriate health-care provider – Percentage of children (aged 0–4) with suspected pneumonia in the two weeks preceding the survey who were taken to an appropriate health-care provider. % under-fives with suspected pneumonia receiving antibiotics – Percentage of children (aged 0–4) with suspected pneumonia in the two weeks preceding the survey who are receiving antibiotics. % under-fives with diarrhoea receiving oral rehydration and continued feeding – Percentage of children (aged 0–4) with diarrhoea in the two weeks preceding the survey who received either oral rehydration therapy (oral rehydration solutions or recommended home-made fluids) or increased fluids and continued feeding. Malaria: % under-fives sleeping under a mosquito net – Percentage of children (aged 0–4) who slept under a mosquito net. % under-fives sleeping under a treated mosquito net – Percentage of children (aged 0–4) who slept under an insecticide-treated mosquito net. % under-fives with fever receiving antimalarial drugs – Percentage of children (aged 0–4) who were ill with fever in the two weeks preceding the survey and received any appropriate (locally defined) antimalarial drugs.

NOTES

– x β λ * **

Use of improved drinking-water sources and improved sanitation facilities – UNICEF and World Health Organization (WHO), Joint Monitoring Programme. Government funding of vaccines – UNICEF and WHO. Immunization – UNICEF and WHO. Suspected pneumonia – Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS) and other national household surveys. Oral rehydration – DHS and MICS. Malaria – DHS and MICS.

Data not available. Data refer to years or periods other than those specified in the column heading, differ from the standard definition or refer to only part of a country. Such data are not included in the calculation of regional and global averages. Coverage for DPT1 should be at least as high as DPT3. Discrepancies where DPT1 coverage is less than DPT3 reflect deficiencies in the data collection and reporting process. UNICEF and WHO are working with national and territorial systems to eliminate these discrepancies. WHO and UNICEF have employed a model to calculate the percentage of births that can be considered as protected against tetanus because pregnant women were given two doses or more of tetanus toxoid (TT) vaccine. The model aims to improve the accuracy of this indicator by capturing or including other potential scenarios where women might be protected (e.g., women who receive doses of TT in supplemental immunization activities). A fuller explanation of the methodology can be found in the General note on the data, page 114. Data refer to the most recent year available during the period specified in the column heading. Excludes China.

S TAT I S T I C A L TA B L E S

129

TABLE 4. HIV/AIDS Prevention among young people Orphans

Paediatric infections

Countries and territories

Afghanistan Albania Algeria Andorra Angola Antigua and Barbuda Argentina Armenia Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bhutan Bolivia Bosnia and Herzegovina Botswana Brazil Brunei Darussalam Bulgaria Burkina Faso Burundi Cambodia Cameroon Canada Cape Verde Central African Republic Chad Chile China Colombia Comoros Congo Cook Islands Costa Rica Côte d’Ivoire Croatia Cuba Cyprus Czech Republic Democratic People’s Republic of Korea Democratic Republic of the Congo Denmark Djibouti Dominica Dominican Republic Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Ethiopia Fiji Finland

130

Estimated Estimated number of people adult HIV (all ages) living with HIV, prevalence 2007 (thousands) rate (aged 15–49), low high 2007 estimate estimate– estimate

– – 0.1 – 2.1 – 0.5 0.1 0.2 0.2 0.2 3.0 – – 1.2 0.2 0.2 2.1 1.2 0.1 0.2 <0.1 23.9 0.6 – – 1.6 2.0 0.8 5.1 0.4 – 6.3 3.5 0.3 0.1 0.6 <0.1 3.5 – 0.4 3.9 <0.1 0.1 – –

– – 21 – 190 – 120 2.4 18 9.8 7.8 6.2 – 12 2.2 13 15 3.6 64 <0.5 8.1 <0.5 300 730 – – 130 110 75 540 73 – 160 200 31 700 170 <0.2 79 – 9.7 480 <0.5 6.2 – 1.5

–

–

– 0.2 3.1 – 1.1 0.3 – 0.8 3.4 1.3 1.3 2.1 0.1 0.1

– 4.8 16 – 62 26 9.2 35 11 38 9.9 980 – 2.4

– <1.0 11–43 – 150–240 – 90–150 1.8–3.5 11–36 7.6–13 4.7–16 4.0–8.7 – 7.7–19 1.5–3.2 10–19 8.9–29 2.2–5.3 58–73 <1.0 6.5–11 <1.0 280–310 600–890 – – 110–160 78–130 67–84 430–640 43–110 – 150–170 130–240 23–39 450–1000 110–230 <1.0 65–94 – 6.1–15 400–550 <1.0 3.6–12 – <1.0–2.8 <0.1 400–500 3.7–6.9 12–19 – 52–71 15–40 7.2–13 24–72 8.2–14 25–58 5.4–19 880–1100 <0.5 1.4–4.4

Mother-to-child transmission Estimated number of women (aged 15+) living with HIV, 2007 (thousands)

Estimated number of children (aged 0–14) living with HIV, 2007 (thousands)

HIV prevalence among young people (aged 15–24), 2007

% who have comprehensive knowledge of HIV, 2002–2007*

male

male female male female

female

– – 6.0 – 110 – 32 <1.0 1.2 2.9 1.3 1.6 – 2.0 <1.0 3.9 4.1 2.0 37 <0.1 2.2 – 170 240 – – 61 53 20 300 20 – 91 110 8.7 200 47 <0.1 43 – 2.7 250 – 1.8 – <0.5

– – – – 17 – – – – – – <0.2 – – – – – <0.2 5.4 – – – 15 – – – 10 15 4.4 45 – – 14 19 – – – – 6.6 – – 52 – – – –

– – 0.1 – 0.2 – 0.6 0.2 0.2 0.2 0.3 3.2 – – 1.3 0.3 0.2 0.5 0.3 0.1 0.2 – 5.1 1.0 – – 0.5 0.4 0.8 1.2 0.4 – 1.1 2.0 0.3 0.1 0.7 0.1 0.8 – 0.4 0.8 – 0.1 – <0.1

– – 0.1 – 0.3 – 0.3 0.1 <0.1 0.1 0.1 1.5 – – 0.6 0.1 0.1 1.5 0.9 <0.1 0.1 – 15.3 0.6 – – 0.9 1.3 0.3 4.3 0.2 – 5.5 2.8 0.2 0.1 0.3 <0.1 2.3 – 0.2 2.4 – 0.1 – –

–

–

–

– 1.1 8.7 – 30 7.1 2.6 9.7 5.9 21 2.4 530 – <1.0

– – 1.1 – 2.7 – – – <1.0 3.1 – 92 – –

– 0.2 0.7 – 0.3 0.4 – 0.9 0.8 0.3 1.6 0.5 0.1 0.1

T H E S TAT E O F T H E W O R L D ’ S C H I L D R E N 2 0 0 9

% who used condom at last higher-risk sex, 2002–2007*

Children (aged 0–17) orphaned orphaned due to all by AIDS, causes, 2007 2007

Orphan school attendance ratio

estimate (thousands)

2002–2007*

estimate (thousands)

– – – – – – – 15 – – 5 – – – – – – – 35 – 18 – 33x – – 15 – – 45 – – 36 27 20 – – – – 35 – – 28 – – – –

– 6 13 – – – – 23 – – 5 – – 16 – 34 – 40 16 – 15 48 40x – – 17 19 30 50 32 – 36 17 8 – – – 10x 26 – – 18 – 52 – –

– – – – – – – 86 – – 31 – – – – – – – 45 – 37 – 88x 71 – 70 – – 84 – – 79 – 25 – – – – 36 – – 53 – – – –

– – – – – – – – – – – – – – – – – – 28 – 20 71 75x 58 – 57 64 25 – 62 – 56 41 17 – – 36 – 16 – – 39 – – – –

– 2100 – – – 570 – – 50 1200 – – – 610 – 50 – 140 – 52 – 190 – 7 – – – 5000 – 3 – 190 – 78 – 6 29 340 – 22 – 300 – – 95 130 – 3200 – – – 95 100 690 120 600 – 600 300 1100 – 180 – – 72 280 85 540 – 160 – 17000 – 790 <0.1 27 69 210 – – – 36 420 1200 – – – 99 – – – 94

– – – – 90x – – – – – – – – 84 – – – – 90 – 74p – 99x – – – 61p 85 83 91 – – 96 105 – – 85 – 88 – – 83 – – – –

–

–

–

–

–

–

530

–

– 0.1 2.1 – 0.6 0.2 – 0.5 2.5 0.9 0.7 1.5 – <0.1

21 – – – 34 – – – – – – 33 – –

15 – 18 – 41 – 4y – 4x 37 – 20 – –

26 – 51 – 70 – – – – – – 50 – –

17 – 26 – 44 – – – – – – 28 – –

– – 5 – – – – – 5 18 – 650 – –

4500 53 42 – 170 200 1400 130 32 280 20 5000 22 48

77 – – – 96 – – – 95x 83 – 90 – –

…TABLE 4 Prevention among young people Orphans

Paediatric infections Estimated Estimated number of people adult HIV (all ages) living with HIV, prevalence 2007 (thousands) rate (aged 15–49), low high 2007 estimate estimate– estimate

France Gabon Gambia Georgia Germany Ghana Greece Grenada Guatemala Guinea Guinea-Bissau Guyana Haiti Holy See Honduras Hungary Iceland India Indonesia Iran (Islamic Republic of) Iraq Ireland Israel Italy Jamaica Japan Jordan Kazakhstan Kenya Kiribati Kuwait Kyrgyzstan Lao People’s Democratic Republic Latvia Lebanon Lesotho Liberia Libyan Arab Jamahiriya Liechtenstein Lithuania Luxembourg Madagascar Malawi Malaysia Maldives Mali Malta Marshall Islands Mauritania Mauritius Mexico Micronesia (Federated States of) Moldova Monaco Mongolia Montenegro Morocco Mozambique Myanmar Namibia Nauru Nepal Netherlands

Mother-to-child transmission Estimated number of women (aged 15+) living with HIV, 2007 (thousands)

Estimated number of children (aged 0–14) living with HIV, 2007 (thousands)

HIV prevalence among young people (aged 15–24), 2007

% who have comprehensive knowledge of HIV, 2002–2007*

male

male female male female

female

% who used condom at last higher-risk sex, 2002–2007*

Children (aged 0–17) orphaned orphaned due to all by AIDS, causes, 2007 2007

Orphan school attendance ratio

estimate (thousands)

2002–2007*

0.4 5.9 0.9 0.1 0.1 1.9 0.2 – 0.8 1.6 1.8 2.5 2.2 – 0.7 0.1 0.2 0.3 0.2 0.2 – 0.2 0.1 0.4 1.6 – – 0.1 – – – 0.1

140 49 8.2 2.7 53 260 11 – 59 87 16 13 120 – 28 3.3 <0.5 2400 270 86 – 5.5 5.1 150 27 9.6 <1.0 12 – – <1.0 4.2

78–240 37–68 3.7–13 1.5–6.1 31–97 230–290 6.1–19 – 41–84 73–110 11–23 7.6–18 100–140 – 18–44 2.0–5.9 <1.0 1800–3200 190–400 68–110 – 4.1–7.7 2.5–12 110–210 19–36 7.9–10 <2.0 7.0–29 1500–2000 – <2.0 2.3–7.7

38 27 4.5 <1.0 15 150 3.0 – 52 48 8.7 7.1 58 – 7.4 <1.0 <0.2 880 54 24 – 1.5 2.9 41 7.6 2.3 – 3.3 – – – 1.1

– 2.3 <1.0 – – 17 – – – 6.3 1.5 <1.0 6.8 – 1.6 – – – – – – – – – – – – – – – – –

0.4 1.3 0.2 0.1 0.1 0.4 0.2 – – 0.4 0.4 0.5 0.6 – 0.7 0.1 0.2 0.3 0.3 0.2 – 0.2 <0.1 0.4 1.7 – – 0.2 – – – 0.2

0.2 3.9 0.6 0.1 0.1 1.3 0.1 – 1.5 1.2 1.2 1.7 1.4 – 0.4 <0.1 0.1 0.3 0.1 0.1 – 0.1 0.1 0.2 0.9 – – 0.1 – – – 0.1

– 22x – – – 33 – – – 23 – – 40 – – – – 36 0y – – – – – – – – – 47 – – –

– 24x 39 15 – 25 – – – 17 18 50 34 – 30 – – 20 1 – 3 – – – 60 – 3y 22 34 – – 20

– 48x – – – 56 – – – 37 – 68 43 – – – – 37 – – – – – – – – – 65x 47 – – –

– 33x 54 – – 42 – – – 26 39 62 29 – 24 – – 22 – – – – – – – – – 32x 25 – – 56

– 18 3 – – 160 – – – 25 6 – – – – – – – – – – – – – – – – – – – – –

0.2 0.8 0.1 23.2 1.7 – – 0.1 0.2 0.1 11.9 0.5 – 1.5 0.1 – 0.8 1.7 0.3

5.5 10 3.0 270 35 – – 2.2 – 14 930 80 – 100 <0.5 – 14 13 200

3.3–13 7.4–15 1.7–7.2 260–290 29–41 – – 1.2–4.6 <1.0 9.1–23 860–1000 52–120 <0.1 88–120 <1.0 – 8.3–26 7.5–28 150–310

1.3 2.7 <1.0 150 19 – – <1.0 <0.2 3.4 490 21 – 56 – – 3.9 3.8 57

– – – 12 3.1 – – – – <0.5 91 – – 9.4 – – <0.5 <0.1 –

0.2 0.9 0.1 5.9 0.4 – – 0.1 0.2 0.2 2.4 0.6 – 0.4 0.1 – 0.9 1.8 0.3

0.1 0.5 0.1 14.9 1.3 – – 0.1 0.1 0.1 8.4 0.3 – 1.1 0.1 – 0.5 1.0 0.2

– – – 18 27 – – – – 16 42 – – 22 – 39 – – –

– – – 26 21 – – – – 19 42 – – 18 – 27 – – –

– – – 53 22 – – – – 12 58 – – 36 – – – – –

– – – 53 14 – – – – 5 40 – – 17 – – – – –

– 0.4 – 0.1 – 0.1 12.5 0.7 15.3 – 0.5 0.2

– 8.9 – <1.0 – 21 1500 240 200 – 70 18

– 6.0–15 – 1.5 – 15–31 1300–1700 160–370 160–230 – 50–99 10–32

– 2.6 – <0.2 – 5.9 810 100 110 – 17 4.9

– – – – – – 100 – 14 – – –

– 0.4 – 0.1 – 0.1 2.9 0.7 3.4 – 0.5 0.2

– 0.2 – – – 0.1 8.5 0.6 10.3 – 0.3 0.1

– 54y – – – – 33 – 62 – 44 –

– 42y – 35 30 12 20 – 65 – 28 –

– 63 – – – – 33 – 81 – 78 –

– 44 – – 66 – 29 – 64 – – –

estimate (thousands)

420 67 48 72 540 1100 73 – 360 380 110 23 380 – 170 130 2 25000 4400 1300 – 38 44 320 53 520 – 470 2500 – – 140

– 98x 87 – – 104p – – – 73 97 – 86 – 108 – – 72 82y – 84 – – – – – – – 95 – – –

– – – 110 15 – – – – 3 550 – – 44 – – 3 <0.5 –

210 33 71 160 270 – – 51 4 840 1100 410 9 550 3 – 83 21 1400

– – – 95 – – – – – 75 97 – – 87 – – – – –

– – – – – – 400 – 66 – – –

– 74 – 64 – 630 1400 1600 110 – 990 110

– – – 96p – – 80 – 100 – – –

S TAT I S T I C A L TA B L E S

131

TABLE 4. HIV/AIDS Prevention among young people Orphans

Paediatric infections Estimated Estimated number of people adult HIV (all ages) living with HIV, prevalence 2007 (thousands) rate (aged 15–49), low high 2007 estimate estimate– estimate

New Zealand 0.1 Nicaragua 0.2 Niger 0.8 Nigeria 3.1 Niue – Norway 0.1 Occupied Palestinian Territory – Oman – Pakistan 0.1 Palau – Panama 1.0 Papua New Guinea 1.5 Paraguay 0.6 Peru 0.5 Philippines – Poland 0.1 Portugal 0.5 Qatar – Republic of Korea <0.1 Romania 0.1 Russian Federation 1.1 Rwanda 2.8 Saint Kitts and Nevis – Saint Lucia – Saint Vincent and the Grenadines – Samoa – San Marino – Sao Tome and Principe – Saudi Arabia – Senegal 1.0 Serbia 0.1 Seychelles – Sierra Leone 1.7 Singapore 0.2 Slovakia <0.1 Slovenia <0.1 Solomon Islands – Somalia 0.5 South Africa 18.1 Spain 0.5 Sri Lanka – Sudan 1.4 Suriname 2.4 Swaziland 26.1 Sweden 0.1 Switzerland 0.6 Syrian Arab Republic – Tajikistan 0.3 Thailand 1.4 The former Yugoslav Republic of Macedonia <0.1 Timor-Leste – Togo 3.3 Tonga – Trinidad and Tobago 1.5 Tunisia 0.1 Turkey – Turkmenistan <0.1 Tuvalu – Uganda 5.4 Ukraine 1.6 United Arab Emirates –

132

Mother-to-child transmission Estimated number of women (aged 15+) living with HIV, 2007 (thousands)

Estimated number of children (aged 0–14) living with HIV, 2007 (thousands)

HIV prevalence among young people (aged 15–24), 2007

% who have comprehensive knowledge of HIV, 2002–2007*

male

male female male female

female

% who used condom at last higher-risk sex, 2002–2007*

Children (aged 0–17) orphaned orphaned due to all by AIDS, causes, 2007 2007

Orphan school attendance ratio

estimate (thousands)

estimate (thousands)

2002–2007*

1.4 7.7 60 2600 – 3.0 – – 96 – 20 54 21 76 8.3 20 34 – 13 15 940 150 – –

<1.0–2.6 5.3–15 44–85 2000–3200 – 1.7–5.0 – – 69–150 – 16–26 53–55 12–38 57–97 6.0–11 11–34 20–63 – 7.5–42 12–16 630–1300 130–170 – –

<0.5 2.1 17 1400 – <1.0 – – 27 – 5.5 21 5.8 21 2.2 5.5 9.4 – 3.6 7.0 240 78 – –

– – 3.2 220 – – – – – – – 1.1 – – – – – – – – 5.2 19 – –

0.1 0.3 0.9 0.8 – 0.1 – – 0.1 – 1.1 0.6 0.7 0.5 – 0.1 0.5 – <0.1 0.2 1.3 0.5 – –

– 0.1 0.5 2.3 – 0.1 – – 0.1 – 0.6 0.7 0.3 0.3 – 0.1 0.3 – <0.1 0.2 0.6 1.4 – –

– – 16 21 – – – – – – – – – – 18 – – – – 1y – 54 – –

– 22x 13 18 – – – – 3 – – – – 19 12 – – – – 3y – 51 – –

– – 37y 46 – – – – – – – – – – 25 – – – – – – 40 – –

– 17x 18y 24 – – – – – – – – – 32 11 – – – – – – 26 – –

– – 25 1200 – – – – – – – – – – – – – – – – – 220 – –

34 110 570 9700 – 37 – – 3900 – 48 330 130 570 1800 440 82 – 360 300 4000 860 – –

– 106x 67 64p – – – – – – – – – 85x – – – – – – – 82 – –

– – – – – 67 6.4 – 55 4.2 <0.5 <0.5 – 24 5700 140 3.8 320 6.8 190 6.2 25 – 10 610

– – – – – 47–96 3.9–12 – 42–76 2.6–7.3 <1.0 <1.0 – 13–45 4900–6600 80–230 2.8–5.1 220–440 4.2–12 180–200 3.5–11 14–43 – 5.0–23 410–880

– – – – – 38 1.8 – 30 1.2 – – – 6.7 3200 28 1.4 170 1.9 100 2.9 9.2 – 2.1 250

– – – – – 3.1 – – 4.0 – – – – <1.0 280 – – 25 <0.2 15 – – – <0.1 14

– – – – – 0.3 0.1 – 0.4 0.2 – – – 0.6 4.0 0.6 <0.1 0.3 2.7 5.8 0.1 0.4 – 0.4 1.2

– – – – – 0.8 0.1 – 1.3 0.1 – – – 0.3 12.7 0.2 – 1.0 1.4 22.6 0.1 0.5 – 0.1 1.2

– – – – – 24 – – – – – – – – – – – – – 52 – – – – –

– – – 44 – 19 42 – 17 – – – – 4 – – – – 41 52 – – 7 2 46

– – – – – 52 – – – – – – – – – – – – – 70 – – – – –

– – – 56 – 36 74 – 20 – – – – – – – – – 49 54 – – – – –

– – – – – 8 – – 16 – – – – 9 1400 – – – – 56 – – – – –

– – – – – 350 130 – 350 24 – – – 590 2500 210 330 1800 9 96 66 39 – 210 1300

– – – – – 83 – – 83 – – – – 78 – – – 96x – 97 – – – – 93

<0.5 – 130 – 14 3.7 <2.0 <0.5 – 940 440 –

<1.0 – 110–150 – 9.5–19 2.7–5.4 <5.0 <1.0 – 870–1000 340–540 –

– – 69 – 7.7 1.0 – – – 480 190 –

– – 10 – – – – – – 130 5.1 –

– – 0.8 – 0.3 0.1 – – – 1.3 1.5 –

– – 2.4 – 1.0 <0.1 – – – 3.9 1.5 –

– – – – – – – – – 38 43 –

27 – 28 – 54 – – 5 – 32 42 –

– – – – – – – – – 55 – –

70 – 50 – 51 – – – – 38 – –

– – 68 – – – – – – 1200 – –

– 48 260 – 20 130 – – – 2500 1000 –

– – 94 – – – – – – 96 98 –

T H E S TAT E O F T H E W O R L D ’ S C H I L D R E N 2 0 0 9

…TABLE 4 Prevention among young people Orphans

Paediatric infections Estimated Estimated number of people adult HIV (all ages) living with HIV, prevalence 2007 (thousands) rate (aged 15–49), low high 2007 estimate estimate– estimate

United Kingdom 0.2 United Republic of Tanzania 6.2 United States 0.6 Uruguay 0.6 Uzbekistan 0.1 Vanuatu – Venezuela (Bolivarian Republic of) – Viet Nam 0.5 Yemen – Zambia 15.2 Zimbabwe 15.3

Mother-to-child transmission Estimated number of women (aged 15+) living with HIV, 2007 (thousands)

Estimated number of children (aged 0–14) living with HIV, 2007 (thousands)

HIV prevalence among young people (aged 15–24), 2007

% who have comprehensive knowledge of HIV, 2002–2007*

male

female

male female male female

% who used condom at last higher-risk sex, 2002–2007*

Children (aged 0–17) orphaned orphaned due to all by AIDS, causes, 2007 2007

Orphan school attendance ratio

estimate (thousands)

2002–2007*

estimate (thousands)

77 1400 1200 10 16 –

37–160 1300–1500 690–1900 5.9–19 8.1–45 –

22 760 230 2.8 4.6 –

– 140 – – <0.2 –

0.3 0.5 0.7 0.6 0.1 –

0.1 0.9 0.3 0.3 0.1 –

– 40 – – – –

– 45 – – 31 –

– 46 – – – –

– 34 – – 61 –

– 970 – – – –

520 2600 2800 46 690 –

– 102 – – – –

– 290 – 1100 1300

– 180–470 – 1000–1200 1200–1400

– 76 – 560 680

– – – 95 120

– 0.6 – 3.6 2.9

– 0.3 – 11.3 7.7

– – – 37 46

– 44 – 34 44

– 68 – 48 68

– – – 38 42

– – – 600 1000

430 1500 – 1100 1300

– – – 103y 95

22000 16400 5600 480 2600 2400 1900 1500 2000 29500 10000 33000

20500–23600 15300–17600 4800–6300 370–620 2000–3400 1900–3000 1700–2400 1100–1900 1400–2900 27300–32100 9500–11000 30000–36000

1800 1300 480 28 110 41 55 11 5.8 2000 900 2000

1.1 1.5 0.7 0.1 0.3 0.2 0.5 0.8 0.4 0.4 0.6 0.4

3.2 4.5 1.9 0.2 0.2 0.1 0.4 0.5 0.2 0.7 1.4 0.6

44 47 42 – 38 – – – – – 45 –

29 30 29 – 22 – – – – – 29 –

SUMMARY INDICATORS Sub-Saharan Africa Eastern and Southern Africa West and Central Africa Middle East and North Africa South Asia East Asia and Pacific Latin America and Caribbean CEE/CIS Industrialized countries§ Developing countries§ Least developed countries§ World

5.0 7.8 2.6 0.3 0.3 0.2 0.6 0.8 0.3 0.9 2.2 0.8

12000 8970 3000 220 930 750 660 460 460 14600 5300 15500

30 24 38 31 23 19 – – 36 18 7** 18** – – – – – – 30** 19** 32 23 – –

11600 47500 8700 24900 3000 22700 – 5900 – 37400 – 30100 – 9400 – 7600 – 7200 – 130000 – 40400 15000 145000

83 92 76 – 73 – – – – 77 86 –

§ Also includes territories within each country category or regional group. Countries and territories in each country category or regional group are listed on page 152.

DEFINITIONS OF THE INDICATORS Estimated adult HIV prevalence rate – Percentage of adults (aged 15–49) living with HIV as of 2007. Estimated number of people (all ages) living with HIV – Estimated number of people (all ages) living with HIV as of 2007. Estimated number of women (aged 15+) living with HIV – Estimated number of women (aged 15+) living with HIV as of 2007. Estimated number of children (aged 0–14) living with HIV – Estimated number of children (aged 0–14) living with HIV as of 2007. HIV prevalence among young people – Percentage of young men and women (aged 15–24) living with HIV as of 2007. Comprehensive knowledge of HIV – Percentage of young men and women (aged 15–24) who correctly identify the two major ways of preventing the sexual transmission of HIV (using condoms and limiting sex to one faithful, uninfected partner), who reject the two most common local misconceptions about HIV transmission and who know that a healthy-looking person can be HIV-infected. Condom use at last higher-risk sex – Percentage of young men and women (aged 15–24) who say they used a condom the last time they had sex with a non-marital, non-cohabiting partner, of those who have had sex with such a partner during the past 12 months. Children orphaned by AIDS – Estimated number of children (aged 0–17) who have lost one or both parents to AIDS as of 2007. Children orphaned due to all causes – Estimated number of children (aged 0–17) who have lost one or both parents due to any cause as of 2007. Orphan school attendance ratio – Percentage of children (aged 10–14) who have lost both biological parents and who are currently attending school as a percentage of non-orphaned children of the same age who live with at least one parent and who are attending school.

NOTES

MAIN DATA SOURCES Estimated adult HIV prevalence rate – Joint United Nations Programme on HIV/AIDS (UNAIDS), Report on the Global AIDS Epidemic, 2008. Estimated number of people (all ages) living with HIV – UNAIDS, Report on the Global AIDS Epidemic, 2008. Estimated number of women (aged 15+) living with HIV – UNAIDS, Report on the Global AIDS Epidemic, 2008. Estimated number of children (aged 0–14) living with HIV – UNAIDS, Report on the Global AIDS Epidemic, 2008. HIV prevalence among young people – UNAIDS, Report on the Global AIDS Epidemic, 2008. Comprehensive knowledge of HIV – AIDS Indicator Surveys (AIS), Behavioural Surveillance Surveys (BSS), Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), Reproductive Health Surveys (RHS) and other national household surveys, 2002–2007; ‘HIV/AIDS Survey Indicators Database’, <www.measuredhs.com/hivdata>. Condom use at last higher-risk sex – AIS, BSS, DHS, RHS and other national household surveys, 2002–2007; ‘HIV/AIDS Survey Indicators Database’, <www.measuredhs.com/hivdata>. Children orphaned by AIDS – UNAIDS, Report on the Global AIDS Epidemic, 2008. Children orphaned due to all causes – UNAIDS unpublished estimates. Orphan school attendance ratio – AIS, DHS, MICS and other national household surveys, 2002–2007; ‘HIV/AIDS Survey Indicators Database’, <www.measuredhs.com/hivdata>.

– x

Data not available. Data refer to years or periods other than those specified in the column heading, differ from the standard definition or refer to only part of a country. Such data are not included in the calculation of regional and global averages. y Data refer to years or periods other than those specified in the column heading, differ from the standard definition or refer to only part of a country. Such data are included in the calculation of regional and global averages. p Proportion of orphans (aged 10–14) attending school is based on small denominators (typically 25–49 unweighted cases). * Data refer to the most recent year available during the period specified in the column heading. ** Excludes China.

S TAT I S T I C A L TA B L E S

133

TABLE 5. EDUCATION

Countries and territories

Afghanistan Albania Algeria Andorra Angola Antigua and Barbuda Argentina Armenia Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bhutan Bolivia Bosnia and Herzegovina Botswana Brazil Brunei Darussalam Bulgaria Burkina Faso Burundi Cambodia Cameroon Canada Cape Verde Central African Republic Chad Chile China Colombia Comoros Congo Cook Islands Costa Rica Côte d’Ivoire Croatia Cuba Cyprus Czech Republic Democratic People’s Republic of Korea Democratic Republic of the Congo Denmark Djibouti Dominica Dominican Republic Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Ethiopia Fiji Finland

134

Number per 100 population Youth (15–24 years) 2006 literacy rate 2000–2007* Internet male female phones users

Primary school enrolment ratio 2000–2007* gross

net

Primary school attendance ratio 2000–2007* net

male

female

male

female

male

49 99 94 – 84 – 99 100 – – 100 – 100 71 – 100 – – 63 83 99 100 93 97 100 98 47 77 90 72 – 97 70 56 99 99 98 92 99 – 98 – 100 100 100 –

18 100 91 – 63 – 99 100 – – 100 – 100 73 – 100 – 89 41 73 98 100 95 99 100 97 33 70 83 59 – 98 47 23 99 99 98 87 98 – 99 40 100 100 100 –

8 60 63 97 14 134 81 – 97 113 39 77 123 13 88 61 93 44 12 10 31 48 47 53 79 108 7 3 12 19 58 21 3 5 76 35 64 5 19 – 33 22 96 1 103 122

2 15 7 56 1 64 21 6 52 51 10 34 28 0 93 56 47 11 1 4 6 24 5 23 42 47 1 1 0 2 77 6 0 1 25 10 14 3 2 27 28 2 37 2 42 35

126 106 114 90 69x – 113 96 105 102 98 98 120 101 104 97 102 125 105 103 109 – 108 141 107 101 66 108 127 117 100 108 72 90 107 112 117 91 113 79 112 79 99 102 103 100

75 105 106 90 59x – 112 100 105 101 95 98 119 105 102 95 102 121 87 101 109 – 106 133 106 100 54 98 118 98 99 103 49 61 102 111 115 80 102 80 111 62 99 100 102 100

74 94 96 83 – – 99 80 96 97 86 87 98 87 97 90 97 97 87 79 95 – 83 94 94 93 52 76 91 – 99 88 53 71 – 99 89 75 58 73 91 61 91 96 99 91

46 93 94 83 – – 98 84 97 98 83 89 98 91 96 89 98 97 73 79 95 – 85 95 94 92 42 73 89 – 100 87 38 50 – 99 88 71 52 75 93 49 90 97 99 94

66 92 97 – 58 – – 99 – – 74 – 86 79 – 93 – 95 72 74 78 92 83 95x – – 49 72 84 86 – 97x 64 41 – – 90 31 86 – 87 66 – – – –

40 92 96 – 59 – – 98 – – 72 – 87 84 – 94 – 95 62 67 77 89 86 95x – – 44 70 86 81 – 96x 54 31 – – 92 31 87 – 89 57 – – – –

–

–

–

–

–

–

–

–

–

78 – – – 95 96 90 95 95 85 100 62 – –

63 – 48 – 97 97 82 96 95 70 100 39 – –

7 107 5 – 51 63 24 55 27 1 125 1 – 108

0 58 1 37 16 12 8 10 2 2 55 0 9 56

68 99 49 85 101 117 108 116 125 69 100 97 101 98

54 99 40 87 96 117 102 112 119 56 98 85 99 98

– 95 42 75 77 96 98 94 91 50 95 74 91 97

– 96 34 80 79 97 94 94 83 43 94 69 91 97

55 – 80 – 84 – 96 – 61 69 – 45 – –

T H E S TAT E O F T H E W O R L D ’ S C H I L D R E N 2 0 0 9

Survival rate to last primary grade (%) 2000–2007*

female admin. data

Secondary school enrolment ratio 2000–2007* gross

net

Secondary school attendance ratio 2000–2007* net

survey data

male

female

male

female

male

female

– 90 91 – – – 87 99 – 99 97 81 99 65 97 99 94 92 65 84 82 – 75 81 98 95 64 78 49 59 – 89 39 26 98 – 82 72 55 – 91 86 100 97 99 100

90 100 – – 83 – – 100 – – 99 – 99 94 – 100 – – 89 – 41 100 – 88 – – 90 74 92 95 – – 65 94 – – 89 19 93 – – 90 – – – –

28 78 80 83 19 – 80 88 154 104 85 91 100 43 100 95 112 77 41 51 84 – 75 101 96 108 17 16 43 27 119 75 – 23 90 75 78 40 47 71 83 32 90 93 96 96

9 75 86 87 16 – 89 91 146 100 81 91 104 45 104 97 108 81 23 46 81 – 78 111 100 104 12 12 34 21 116 86 – 8 92 76 87 30 39 74 89 18 93 94 97 97

– 74 65 73 – – 75 84 87 – 79 83 91 40 88 87 89 64 23 38 72 – 52 75 88 90 14 – 33 – – 56 13 16 – – 62 15 – 62 58 25 86 86 93 –

– 72 68 75 – – 82 88 88 – 76 85 96 42 89 89 85 70 11 39 70 – 60 83 92 88 10 – 28 – – 63 9 5 – – 69 15 – 68 64 14 88 88 95 –

18 79 57 – 22 – – 93 – – 82 – 77 36 – 95 – 58 40 – 57 89 36 42x – – 17 8 29 45 – – 16 13 – – 64 10 39 – 59 32 – – – –

6 77 65 – 20 – – 95 – – 80 – 85 41 – 97 – 60 27 – 56 89 44 50x – – 15 6 26 42 – – 10 7 – – 72 11 40 – 65 22 – – – –

–

–

–

–

–

–

–

–

–

49 – 78 – 88 – 94 – 60 64 – 45 – –

– 92 – 88 61 76 97 67 33 74 96 58 81 99

49 – – – 81 – 98 – – – – 84 – –

28 118 27 107 63 67 91 63 41 39 99 37 80 109

16 121 18 105 75 68 85 66 23 23 101 24 88 114

– 88 26 77 47 57 82 53 – 30 90 29 76 96

– 90 17 85 57 58 78 56 – 20 92 19 83 96

18 – 50 – 27 – 72 – 23 23 – 30 – –

15 – 42 – 39 – 67 – 22 21 – 23 – –

…TABLE 5 Number per 100 population Youth (15–24 years) 2006 literacy rate 2000–2007* Internet male female phones users

France Gabon Gambia Georgia Germany Ghana Greece Grenada Guatemala Guinea Guinea-Bissau Guyana Haiti Holy See Honduras Hungary Iceland India Indonesia Iran (Islamic Republic of) Iraq Ireland Israel Italy Jamaica Japan Jordan Kazakhstan Kenya Kiribati Kuwait Kyrgyzstan Lao People’s Democratic Republic

– 98 63 – – 80 99 – 88 59 94 – 76 – 88 98 – 87 99 98 89 – – 100 91 – 99 100 80 – 100 100

Latvia Lebanon Lesotho Liberia Libyan Arab Jamahiriya Liechtenstein Lithuania Luxembourg Madagascar Malawi Malaysia Maldives Mali Malta Marshall Islands Mauritania Mauritius Mexico Micronesia (Federated States of) Moldova Monaco Mongolia Montenegro Morocco Mozambique Myanmar Namibia Nauru

Primary school enrolment ratio 2000–2007* gross

net

Primary school attendance ratio 2000–2007* net

Secondary school enrolment ratio 2000–2007*

Survival rate to last primary grade (%) 2000–2007*

net

male

female

male

female

male

survey data

male

female

male

female

male

female

50 6 5 7 47 3 18 21 10 1 2 23 8 0 5 35 65 11 5 26 0 34 28 53 49 68 14 9 8 2 29 12

110 153 71 94 103 98 102 94 118 96 84 125 – – 119 98 98 114 116 104 109 104 109 104 95 100 96 105 107 112 97 97

109 152 77 97 103 97 102 91 109 81 56 124 – – 118 96 97 109 112 132 90 103 111 103 95 100 98 106 104 114 96 96

98 88 59 88 98 73 100 84 96 77 53 – – – 96 89 98 90 97 91 95 95 96 99 90 100 89 90 75 96 84 86

99 88 64 91 98 71 99 83 92 66 37 – – – 97 88 97 87 94 100 82 95 98 98 90 100 91 90 76 98 83 85

– 94 60 94 – 75 – – 80x 55 54 96 48 – 77 – – 85 94 94 91 – – – 97 – 99 99 79 – – 91

– 94 62 95 – 75 – – 76x 48 53 96 52 – 80 – – 81 95 91 80 – – – 98 – 99 98 79 – – 93

98x 56 – 100 99 60 98 83 63 76 – 59 – – 81 98 99 73 80 88 70 – 100 100 87 – 96 100 84 81 96 99

– – 95 – – 98 – – – 96 81 96 85 – – – – 95 – – 83 – – – – – – 100 90 – – 99

114 53 47 83 102 52 104 99 56 45 23 106 – – 66 96 108 59 64 83 54 108 93 101 86 101 88 93 52 82 87 86

114 46 43 86 100 46 102 102 51 24 13 104 – – 86 95 111 49 64 78 36 116 92 100 89 102 90 92 49 94 91 87

98 – 40 77 – 47 92 78 40 35 11 – – – – 90 89 – 59 79 45 85 88 93 77 99 81 86 43 65 75 80

100 – 37 81 – 43 93 80 37 20 6 – – – – 90 91 – 59 75 32 90 89 94 80 99 83 86 42 72 79 81

– 34 39 89 – 45 – – 23x 27 8 66 18 – 29 – – 59 54 – 46 – – – 88 – 85 97 12 – – 90

– 36 34 88 – 45 – – 24x 17 7 73 21 – 36 – – 49 56 – 34 – – – 92 – 89 97 13 – – 92

17

1

123

109

86

81

81

77

62

93

49

38

38

32

40

33

95 31 20 8 66 82 138 117 5 5 75 88 11 86 – 34 62 53

47 26 3 0 4 64 32 72 1 0 54 9 1 34 – 1 25 19

96 96 115 96 113 106 95 102 142 117 101 118 90 101 94 99 102 114

93 93 114 87 108 107 94 103 137 121 100 114 71 99 92 104 102 111

89 82 71 40 – 87 90 96 96 88 100 97 68 92 67 78 94 98

92 82 74 39 – 89 89 98 96 94 100 97 54 91 66 82 96 97

– 97 82 – – – – – 74 86 – – 45 – – 56 – 97

– 97 88 – – – – – 77 88 – – 33 – – 59 – 97

98 87 62 – – – 97 88 36 36 99 – 73 99 – 45 99 92

– 93 84 – – – – – 93 71 – – 90 – – – – –

98 78 33 37 86 120 99 94 24 32 66 80 35 99 66 27 89 86

99 85 42 27 101 104 99 98 23 27 72 86 21 100 67 23 88 88

– 70 19 22 – 62 92 82 17 25 66 65 – 84 43 16 81 71

– 77 29 13 – 69 93 86 18 23 72 70 – 90 47 15 82 70

– 61 16 – – – – – 17 27 – – 15 – – 21 – –

– 68 27 – – – – – 21 26 – – 11 – – 17 – –

19

14

109

111

–

–

–

–

–

–

80

86

–

–

–

–

32 52 29 107 52 12 0 30 –

17 56 12 44 20 1 0 4 –

97 – 99 – 112 113 114 107 78

96 – 102 – 100 97 115 107 80

88 – 90 – 91 79 99 74 –

88 – 93 – 85 73 100 79 –

84 – 96 98 91 63 83 91 –

85 – 98 97 87 57 84 91 –

97 – 91 – 74 40 72 77 25

100 – 97 97 – 68 100 90 –

87 – 84 – 53 18 49 53 42

91 – 95 – 45 13 49 61 50

80 – 77 – 37 4 46 30 –

83 – 87 – 32 4 46 40 –

82 – 85 90 39 8 51 40 –

85 – 91 92 36 7 48 53 –

– 96 41 99 – 76 99 – 83 34 87 – 87 – 93 99 – 77 99 97 81 – – 100 98 – 99 100 81 – 100 100

85 64 26 38 104 23 99 45 56 – 10 – 14 0 30 99 109 15 28 24 32 113 123 135 94 79 74 53 21 – 91 24

85

80

100 – 75 68 100 – 100 – 73 84 98 98 36 96 – 70 95 98

100 – 91 76 98 – 100 – 68 82 98 98 23 99 – 63 97 98

–

–

100 – 94 – 84 58 97 91 –

100 – 97 93 67 48 96 94 –

female admin. data

gross

Secondary school attendance ratio 2000–2007* net

S TAT I S T I C A L TA B L E S

135

TABLE 5. EDUCATION Number per 100 population Youth (15–24 years) 2006 literacy rate 2000–2007* Internet male female phones users

Primary school enrolment ratio 2000–2007* gross

net

Primary school attendance ratio 2000–2007* net

male

female

male

female

male

129 108 102 117 58 105 107 98 82 82 94 108 113 60 113 116 110 98 118 105 107 105 96 138 86 122

123 105 102 115 43 87 102 98 83 83 74 101 110 50 110 117 109 97 112 104 103 104 96 142 103 114

91 99 99 90 56 68 – 98 76 73 74 98 99 – 94 96 91 96 98 93 100 93 91 76 64 99

87 97 99 90 40 59 – 98 76 75 57 95 98 – 95 97 93 96 98 94 93 93 91 81 78 97

86 – – 77 44 66 – – 91 – 60 – – – 95 94 88 – – – – – – 84 – –

Survival rate to last primary grade (%) 2000–2007*

female admin. data

net

survey data

male

female

95 – – 56 88 96 – – – – – – – – – 94 90 – – – – – – 76 – –

46 119 117 62 14 36 96 113 91 90 34 96 67 – 66 93 79 100 94 103 100 86 85 14 110 80

41 117 123 70 9 29 102 113 97 87 26 105 73 – 67 96 88 99 102 100 95 86 83 13 100 95

male

female

– 88 91 40 12 28 91x 96 87 78 33 – 61 – 56 72 55 93 78 91 99 74 – – 70 65

– 89 93 47 7 23 96x 97 92 77 26 – 68 – 59 72 66 94 86 90 93 73 – – 61 80

male

female

46 – – 35 13 38 – – – – 23 – – – 81 70 55 – – – – – – 5 – –

38 – – 47 9 33 – – – – 18 – – – 80 70 70 – – – – – – 5 – –

73 – – 92 26 85 – – 99 98 60 – 96 65 97 97 95 99 100 98 – 98 100 77 – –

4 106 94 33 3 24 – 108 22 70 22 0 66 – 51 31 51 95 116 110 84 80 106 3 – –

1 86 79 3 0 6 – 82 7 11 8 0 15 2 4 23 6 37 30 35 71 52 18 1 32 62

–

74

29

94

100

93

88

–

–

64

–

67

83

57

71

–

–

Samoa San Marino Sao Tome and Principe Saudi Arabia Senegal Serbia Seychelles Sierra Leone Singapore Slovakia Slovenia Solomon Islands Somalia South Africa Spain Sri Lanka Sudan Suriname Swaziland Sweden Switzerland Syrian Arab Republic Tajikistan Thailand The former Yugoslav Republic of Macedonia Timor-Leste Togo Tonga Trinidad and Tobago Tunisia Turkey Turkmenistan

99 – 95 98 59 – 99 64 100 – 100 – – 95 100 97 85 96 87 – – 95 100 98

100 – 96 96 44 96 99 44 100 – 100 – 24 96 100 98 71 95 90 – – 92 100 98

25 64 12 78 25 63 87 – 109 91 93 – 6 83 106 26 12 71 24 106 99 24 – 63

4 57 14 19 5 13 36 0 59 42 64 2 1 8 43 2 9 8 4 77 58 8 – 13

100 – 128 – 81 97 126 155 – 101 101 102 – 108 106 108 71 121 110 96 98 129 103 108

100 – 127 – 79 97 125 139 – 99 100 98 – 103 104 108 61 121 102 95 97 123 98 108

90 – 97 – 71 95 99 – – 92 96 62 – 88 100 98 45 95 78 95 89 97 99 95

91 – 98 – 70 95 100 – – 92 95 62 – 88 99 97 37 98 79 95 89 92 95 94

– – 94 – 58 98 – 69 – – – – 24 80x – – 56 94 83 – – 97 89 98

– – 95 – 59 98 – 69 – – – – 20 83x – – 52 93 86 – – 96 88 98

96x – 61 – 54 – 99 – – 97 99 – – 77 100 100 74 – 71 – – 92 99 –

– – 83 – 93 100 – 91 – – – – 85 – – – 56 80 80 – – – 100 –

76 – 44 – 27 87 105 38 – 94 96 33 – 92 115 86 35 66 47 104 95 72 90 75

86 – 47 – 21 89 119 26 – 95 95 27 – 98 122 88 33 90 47 103 90 68 75 82

62 – 31 – 23 – 94 27 – – 90 29 – 59 92 – – 57 29 99 84 64 87 68

71 – 34 – 18 – 100 19 – – 91 25 – 66 96 – – 79 35 99 80 61 74 75

– – 39 – 20 90 – 21 – – – – 8 41x – – 17 55 31 – – 64 89 77

– – 41 – 16 93 – 17 – – – – 4 48x – – 22 66 41 – – 65 74 84

99 – 84 100 100 97 98 100

99 – 64 100 100 94 94 100

70 5 11 29 69 72 71 4

13 0 5 3 22 13 18 1

98 103 110 116 96 110 96 –

98 95 95 110 94 107 92 –

92 70 86 98 85 96 93 –

92 67 75 94 85 97 89 –

97 76 82 – 98 95 91 99

93 74 76 – 98 93 87 99

98 – 68 91 84 94 94 –

– – 84 – 97 – 95 100

85 53 54 92 75 81 86 –

83 54 27 96 78 89 71 –

82 – 30 54 64 61 74 –

80 – 14 68 67 68 64 –

79 – 45 – 84 – 52 84

78 – 32 – 90 – 43 84

T H E S TAT E O F T H E W O R L D ’ S C H I L D R E N 2 0 0 9

81 98 – 50 53 63 – 100 98 99 70 – 85 – 84 85 70 98 – 89 99 94 99 31 78 96

gross

Secondary school attendance ratio 2000–2007* net

Nepal 85 Netherlands – New Zealand – Nicaragua 85 Niger 53 Nigeria 89 Niue – Norway – Occupied Palestinian Territory 99 Oman 99 Pakistan 80 Palau – Panama 97 Papua New Guinea 63 Paraguay 96 Peru 99 Philippines 94 Poland 100 Portugal 100 Qatar 97 Republic of Korea – Romania 97 Russian Federation 100 Rwanda 79 Saint Kitts and Nevis – Saint Lucia – Saint Vincent and the Grenadines –

136

82 – – 84 31 58 – – 92 – 51 – – – 96 94 89 – – – – – – 87 – –

Secondary school enrolment ratio 2000–2007*

…TABLE 5 Number per 100 population Youth (15–24 years) 2006 literacy rate 2000–2007* Internet male female phones users

Tuvalu – Uganda 88 Ukraine 100 United Arab Emirates 99 United Kingdom – United Republic of Tanzania 79 United States – Uruguay 98 Uzbekistan 99 Vanuatu 92 Venezuela (Bolivarian Republic of) 96 Viet Nam 95 Yemen 93 Zambia 73x Zimbabwe 98

Primary school enrolment ratio 2000–2007* gross

net

Primary school attendance ratio 2000–2007* net

male

female

male

female

male

15 7 107 119 117 15 80 67 9 –

19 5 20 37 63 1 70 24 4 –

106 116 102 104 105 113 98 117 97 110

105 117 102 103 106 111 99 113 94 106

– – 90 88 98 98 91 100 – 88

– – 90 88 99 97 93 100 – 86

– 83 96 – – 71 – – 100 –

98 94 67 66x 99

69 18 14 14 6

15 17 1 4 9

106 109 100 118 102

103 103 74 116 101

91 – 85 90 87

91 – 65 94 88

91 94 68x 55 91

68 69 66 85 74 98 97 99 – 84 65 85

18 19 18 37 15 36 54 81 93 30 9 42

3 3 3 13 9 12 19 20 59 11 1 18

101 110 93 102 111 111 120 98 101 109 101 108

90 104 77 97 104 110 116 96 101 103 91 103

75 83 67 86 88 98 94 92 95 89 79 90

70 81 58 81 83 97 95 90 96 86 74 87

64 66 63 88 81 92** 90 93 – 80** 65 80**

– 84 100 97 – 76 – 99 99 92

Secondary school enrolment ratio 2000–2007*

Survival rate to last primary grade (%) 2000–2007*

female admin. data

gross female

male

male

female

63 25 98 99 – 83 96 92 99 69x

– 72 100 – – 91 – – 100 –

87 20 94 89 97 7x 94 94 103 43

81 16 93 91 99 6x 94 109 102 37

– 16 83 78 91 22 88 – – 41

– 14 84 80 94 20 88 – – 35

– 16 90 – – 8 – – 91 –

– 15 93 – – 8 – – 90 –

93 94 41x 58 93

90 92 60 76 62

82 98 – 80 79

73 68 61 33 42

82 62 30 27 39

62 – 49 31 38

71 – 26 25 36

30 77 35x 17 46

43 78 13x 19 43

61 66 56 85 77 92** 91 91 – 77** 63 77**

61 60 62 83 72 80** 84 96 97 74** 60 76**

84 82 86 – 94 – – 97 – 90 82 90

36 39 33 73 54 73 87 89 102 62 35 67

29 34 24 67 45 73 94 85 101 58 29 63

28 30 26 67 – 60** 69 79 91 51** 30 58**

24 27 20 62 – 62** 74 75 92 49** 26 57**

26 20 31 54 51 60** – 79 – 48** 26 48**

22 18 26 52 43 63** – 76 – 43** 24 44**

– 82 98 – – 75 – – 100 –

survey data

male

net female

Secondary school attendance ratio 2000–2007* net

SUMMARY INDICATORS Sub-Saharan Africa Eastern and Southern Africa West and Central Africa Middle East and North Africa South Asia East Asia and Pacific Latin America and Caribbean CEE/CIS Industrialized countries§ Developing countries§ Least developed countries§ World

77 78 77 93 84 98 97 99 – 90 75 90

§ Also includes territories within each country category or regional group. Countries and territories in each country category or regional group are listed on page 152.

DEFINITIONS OF THE INDICATORS Youth literacy rate – Number of literate persons aged 15–24, expressed as a percentage of the total population in that age group. Primary school gross enrolment ratio – Number of children enrolled in primary school, regardless of age, expressed as a percentage of the total number of children of official primary school age. Secondary school gross enrolment ratio – Number of children enrolled in secondary school, regardless of age, expressed as a percentage of the total number of children of official secondary school age. Primary school net enrolment ratio – Number of children enrolled in primary school who are of official primary school age, expressed as a percentage of the total number of children of official primary school age. Secondary school net enrolment ratio – Number of children enrolled in secondary school who are of official secondary school age, expressed as a percentage of the total number of children of official secondary school age. Primary school net attendance ratio – Number of children attending primary or secondary school who are of official primary school age, expressed as a percentage of the total number of children of official primary school age. Secondary school net attendance ratio – Number of children attending secondary or tertiary school who are of official secondary school age, expressed as a percentage of the total number of children of official secondary school age. Survival rate to the last grade of primary school – Percentage of children entering the first grade of primary school who eventually reach the last grade of primary school.

NOTES

MAIN DATA SOURCES Youth literacy – UNESCO Institute for Statistics (UIS). Phone and Internet use – International Telecommunications Union, Geneva. Primary and secondary school enrolment – UIS. Primary and secondary school attendance – Demographic and Health Surveys (DHS) and Multiple Indicator Cluster Surveys (MICS). Survival rate to the last grade of primary school – Administrative data: UIS, survey data: DHS and MICS.

– Data not available. x Data refer to years or periods other than those specified in the column heading, differ from the standard definition or refer to only part of a country. Such data are not included in the calculation of regional and global averages. * Data refer to the most recent year available during the period specified in the column heading. ** Excludes China.

S TAT I S T I C A L TA B L E S

137

TABLE 6. DEMOGRAPHIC INDICATORS Population (thousands) 2007 under 18

under 5

Afghanistan 14526 Albania 986 Algeria 11780 Andorra 14 Angola 9022 Antigua and Barbuda 28 Argentina 12279 Armenia 760 Australia 4802 Austria 1573 Azerbaijan 2536 Bahamas 106 Bahrain 227 Bangladesh 64486 Barbados 66 Belarus 1870 Belgium 2128 Belize 124 Benin 4553 Bhutan 248 Bolivia 4167 Bosnia and Herzegovina 825 Botswana 783 Brazil 62565 Brunei Darussalam 132 Bulgaria 1298 Burkina Faso 7778 Burundi 4383 Cambodia 6247 Cameroon 8908 Canada 6909 Cape Verde 242 Central African Republic 2137 Chad 5690 Chile 4848 China 341820 Colombia 16196 Comoros 403 Congo 1825 Cook Islands 5 Costa Rica 1482 Côte d’Ivoire 9271 Croatia 846 Cuba 2571 Cyprus 200 Czech Republic 1822 Democratic People’s Republic of Korea 6656 Democratic Republic of the Congo 33784 Denmark 1210 Djibouti 369 Dominica 22 Dominican Republic 3788 Ecuador 5060 Egypt 29422 El Salvador 2696 Equatorial Guinea 247 Eritrea 2402 Estonia 254 Ethiopia 42124

5002 250 3271 4 3162 8 3364 167 1272 393 564 28 65 18900 17 454 558 36 1525 60 1245 189 218 18110 41 341 2670 1541 1708 2866 1720 74 674 1989 1234 84062 4388 130 595 1 394 2872 204 632 50 469 1562 12268 318 107 6 1113 1403 8719 772 82 837 68 13651

Countries and territories

138

Population annual growth rate (%)

Crude death rate

1970–1990 1990–2007

1970 1990 2007

0.3 2.2 3.0 3.9 2.7 -0.6 1.5 1.7 1.4 0.2 1.7 2.0 4.0 2.4 0.6 0.6 0.2 2.1 3.0 3.0 2.3 0.9 3.3 2.2 3.4 0.2 2.4 2.4 1.7 2.9 1.2 1.4 2.4 2.5 1.6 1.6 2.2 3.3 3.0 -0.9 2.6 4.4 0.4 1.0 0.5 0.2 1.7 3.1 0.2 6.2 0.3 2.3 2.7 2.2 1.8 0.8 2.7 0.7 2.7

4.5 -0.2 1.7 2.0 2.8 1.9 1.1 -1.0 1.2 0.5 0.9 1.5 2.5 2.0 0.5 -0.3 0.3 2.6 3.3 1.1 2.1 -0.5 1.9 1.5 2.5 -0.8 3.0 2.4 2.3 2.4 1.0 2.4 2.2 3.3 1.4 0.9 1.6 2.7 2.6 -1.7 2.2 2.4 0.0 0.4 1.3 -0.1 1.0 2.9 0.3 2.3 -0.1 1.7 1.5 1.8 1.7 2.4 2.5 -0.9 2.9

29 8 16 – 27 – 9 5 9 13 7 7 9 20 9 7 12 8 22 23 20 7 13 10 7 9 24 20 20 19 7 12 22 21 10 8 9 18 14 – 7 18 10 7 10 12 7 20 10 21 – 11 12 17 12 25 21 11 21

23 6 7 – 24 – 8 8 7 11 7 6 4 12 8 11 11 5 15 14 11 7 7 7 3 12 17 19 12 13 7 8 16 16 6 7 6 11 11 – 4 13 11 7 8 12 6 18 12 14 – 6 6 9 7 19 16 13 18

T H E S TAT E O F T H E W O R L D ’ S C H I L D R E N 2 0 0 9

Life expectancy

Crude birth rate

20 6 5 – 21 – 8 10 7 9 7 6 3 8 7 15 10 4 11 7 8 9 15 6 3 15 15 16 9 15 7 5 18 15 5 7 6 7 12 – 4 16 12 8 7 11 10 18 10 11 – 6 5 6 6 15 9 14 13

1970 1990 2007

52 33 49 – 52 – 23 23 20 15 29 31 40 45 22 16 14 40 47 47 46 23 45 35 36 16 51 44 42 45 17 40 42 46 29 33 38 50 44 – 33 51 15 29 19 16 35 48 16 49 – 42 42 41 44 41 47 15 49

52 24 32 – 53 – 22 21 15 12 27 24 29 35 16 14 12 35 47 38 36 15 35 24 28 12 49 48 44 42 14 39 42 48 23 21 27 41 39 – 27 45 12 17 19 12 21 49 12 42 – 29 29 32 30 42 41 14 47

48 16 21 – 48 – 18 12 12 9 16 17 17 25 11 9 10 25 40 19 28 9 25 19 22 9 44 47 26 35 10 29 36 46 15 13 19 34 35 – 18 36 9 11 12 9 13 50 11 29 – 24 21 24 23 39 40 11 38

1970 1990 2007

35 67 53 – 37 – 66 70 71 70 65 66 62 44 69 71 71 66 46 41 46 66 55 59 67 71 42 44 44 46 73 56 42 45 62 62 61 48 54 – 67 49 69 70 71 70 62 45 73 43 – 58 58 50 57 40 43 71 43

41 72 67 – 40 – 71 68 77 76 66 70 72 54 75 71 76 72 53 52 59 72 64 66 74 71 50 46 55 55 77 65 50 52 73 68 68 56 57 – 75 54 72 74 76 72 71 47 75 51 – 67 68 62 65 47 48 69 47

44 76 72 – 42 – 75 72 81 80 67 73 76 64 77 69 79 76 56 66 65 75 50 72 77 73 52 49 59 50 81 72 44 51 79 73 73 65 55 – 79 48 76 78 79 76 67 46 78 55 – 72 75 71 72 51 58 71 53

Total fertility rate 2007

% of population urbanized 2007

7.1 2.1 2.4 – 6.5 – 2.3 1.4 1.8 1.4 1.8 2.0 2.3 2.9 1.5 1.2 1.6 3.0 5.5 2.2 3.5 1.2 2.9 2.3 2.3 1.3 6.0 6.8 3.2 4.4 1.5 3.4 4.6 6.2 1.9 1.7 2.2 4.4 4.5 – 2.1 4.5 1.3 1.5 1.6 1.2 1.9 6.7 1.8 4.0 – 2.8 2.6 2.9 2.7 5.4 5.1 1.5 5.3

24 47 65 91 55 38 90 64 89 66 52 91 97 26 54 73 97 49 41 12 65 47 59 85 74 71 19 11 21 56 80 59 38 26 88 42 73 38 61 73 63 46 57 75 70 73 62 33 86 87 73 68 64 43 60 39 20 69 16

Average annual growth rate of urban population (%) 1970–1990 1990–2007

2.9 2.9 4.4 3.8 7.3 -0.3 2.0 2.3 1.4 0.2 2.0 3.1 4.3 7.2 1.0 2.7 0.3 1.7 6.7 6.1 4.0 2.8 11.8 3.7 3.7 1.4 6.8 7.3 2.0 6.4 1.3 5.5 3.9 5.5 2.1 3.9 3.2 5.1 4.7 -0.5 4.0 6.1 1.9 2.0 3.0 2.1 2.1 2.6 0.5 7.3 2.1 3.9 4.4 2.4 2.9 2.0 3.8 1.1 4.6

6.4 1.4 3.2 2.0 5.4 2.5 1.5 -1.4 1.5 0.5 0.7 2.2 3.2 3.8 1.7 0.2 0.4 2.9 4.5 4.2 3.2 0.5 4.1 2.4 3.4 -0.5 5.2 5.8 5.7 4.6 1.4 4.3 2.5 5.0 1.8 3.6 2.2 4.8 3.5 -0.3 3.7 3.5 0.4 0.5 1.7 -0.2 1.4 4.3 0.4 3.3 0.3 3.1 2.5 1.9 3.1 3.3 4.2 -1.2 4.7

…TABLE 6 Population (thousands) 2007 under 18

Fiji Finland France Gabon Gambia Georgia Germany Ghana Greece Grenada Guatemala Guinea Guinea-Bissau Guyana Haiti Holy See Honduras Hungary Iceland India Indonesia Iran (Islamic Republic of) Iraq Ireland Israel Italy Jamaica Japan Jordan Kazakhstan Kenya Kiribati Kuwait Kyrgyzstan Lao People’s Democratic Republic Latvia Lebanon Lesotho Liberia Libyan Arab Jamahiriya Liechtenstein Lithuania Luxembourg Madagascar Malawi Malaysia Maldives Mali Malta Marshall Islands Mauritania Mauritius Mexico Micronesia (Federated States of) Moldova Monaco Mongolia Montenegro Morocco

under 5

320 88 1093 287 13573 3828 555 159 803 264 1006 233 14286 3499 10553 3216 1906 514 42 10 6588 2093 4656 1566 918 333 267 70 4211 1250 – – 3257 948 1903 471 78 21 446646 126808 76805 21630 24229 6472 13847 4217 1063 323 2262 683 9882 2734 1007 273 21206 5549 2500 731 4558 1316 18593 6359 35 10 785 242 1945 514 2681 720 411 103 1365 362 953 271 2017 725 2183 688 7 2 688 150 102 27 9829 3190 7479 2461 9663 2756 121 31 6721 2321 84 20 22 6 1443 462 358 94 37772 10342 50 14 932 211 6 2 898 232 142 38 11075 3005

Population annual growth rate (%)

Crude death rate

1970–1990 1990–2007

1970 1990 2007

1.6 0.4 0.6 2.8 3.5 0.7 0.1 2.7 0.7 0.1 2.5 2.3 2.8 0.1 2.1 – 3.0 0.0 1.1 2.2 2.1 3.4 3.0 0.9 2.2 0.3 1.2 0.8 3.5 1.2 3.7 2.5 5.3 2.0 2.3 0.6 1.0 2.2 2.2 3.9 1.5 0.8 0.6 2.8 3.7 2.6 2.9 2.3 0.9 4.2 2.6 1.2 2.4 2.2 1.0 1.2 2.8 0.6 2.4

0.9 0.3 0.5 2.2 3.4 -1.3 0.2 2.4 0.5 0.6 2.4 2.6 3.0 0.1 1.8 – 2.2 -0.2 1.0 1.8 1.4 1.3 2.6 1.2 2.5 0.2 0.8 0.2 3.5 -0.4 2.8 1.6 1.7 1.1 2.1 -0.9 1.9 1.3 3.3 2.0 1.1 -0.5 1.2 2.9 2.3 2.3 2.0 2.8 0.7 1.3 2.8 1.0 1.4 0.8 -0.9 0.5 1.0 0.1 1.4

8 10 11 20 28 9 12 16 8 9 15 27 29 11 18 – 15 11 7 16 17 14 12 11 7 10 8 7 16 9 15 – 6 11 19 11 9 17 22 16 – 9 12 21 24 9 17 26 9 – 18 7 10 9 10 – 14 3 17

6 10 9 11 15 9 11 11 9 10 9 19 23 9 13 – 7 14 7 10 9 7 8 9 6 10 7 7 6 9 10 – 2 8 13 13 7 11 21 5 – 11 11 15 18 5 9 20 8 – 11 6 5 7 10 – 9 5 8

Life expectancy

Crude birth rate

7 10 9 12 10 12 11 9 10 8 6 12 19 8 9 – 6 13 6 8 6 5 9 7 5 10 7 9 4 10 12 – 2 8 7 14 7 19 18 4 – 12 9 10 15 4 6 15 8 – 8 7 5 6 12 – 7 10 6

1970 1990 2007

34 14 17 34 50 19 14 45 17 28 44 50 49 38 39 – 47 15 21 38 41 43 46 22 27 17 35 19 52 26 51 – 48 31 44 14 33 43 49 49 – 17 13 47 56 37 40 52 17 – 45 28 44 41 18 – 42 10 47

29 13 13 36 43 16 11 40 10 28 39 47 50 25 37 – 38 12 17 32 26 35 39 15 22 10 25 10 36 23 42 – 24 31 43 14 26 36 50 26 – 15 13 44 50 30 40 52 15 – 40 20 28 34 19 – 33 11 30

21 11 12 26 35 11 8 30 9 18 34 40 50 17 28 – 28 9 14 23 19 20 32 16 20 9 20 8 26 19 39 – 18 22 27 9 18 29 50 24 – 9 11 37 41 21 23 48 10 – 33 15 20 26 11 – 19 14 20

1970 1990 2007

60 70 72 47 37 67 71 49 72 64 52 38 36 60 47 – 52 69 74 49 48 54 56 71 71 72 68 72 54 62 52 – 66 60 46 70 65 49 42 51 – 71 70 44 41 61 50 39 70 – 47 62 61 62 65 – 53 69 52

67 75 77 61 51 71 75 57 77 66 62 47 42 62 54 – 66 69 78 59 61 64 63 75 76 77 72 79 67 67 60 – 75 66 54 69 69 59 43 68 – 71 75 51 49 70 60 47 76 – 57 69 70 66 68 – 61 75 64

69 79 81 57 59 71 79 60 79 69 70 56 46 66 61 – 70 73 82 64 70 71 59 79 81 81 72 83 72 67 53 – 78 66 64 73 72 42 45 74 – 73 79 59 48 74 68 54 79 – 64 73 76 68 69 – 67 74 71

Total fertility rate 2007

% of population urbanized 2007

2.8 1.8 1.9 3.1 4.8 1.4 1.4 3.9 1.3 2.3 4.2 5.5 7.1 2.3 3.6 – 3.3 1.3 2.0 2.8 2.2 2.0 4.3 2.0 2.8 1.4 2.5 1.3 3.1 2.3 5.0 – 2.2 2.5 3.2 1.3 2.2 3.4 6.8 2.8 – 1.3 1.7 4.8 5.6 2.6 2.6 6.5 1.4 – 4.4 1.9 2.2 3.8 1.4 – 1.9 1.8 2.4

52 61 77 85 56 52 75 49 59 31 48 34 30 28 40 – 47 67 93 29 50 68 67 61 92 68 54 66 83 58 21 50 98 36 21 68 87 19 60 85 22 66 83 27 18 69 31 32 96 67 41 42 77 22 47 100 57 – 60

Average annual growth rate of urban population (%) 1970–1990 1990–2007

2.5 1.4 0.8 6.6 6.8 1.5 0.1 3.9 1.3 0.1 3.2 5.1 5.9 0.2 4.1 – 4.6 0.5 1.4 3.5 5.0 4.9 4.1 1.3 2.6 0.4 2.1 1.7 4.8 1.7 6.5 4.0 6.0 2.0 4.7 1.3 2.7 5.7 4.9 6.7 1.6 2.4 1.0 5.3 7.0 4.5 6.8 4.7 0.9 4.3 7.6 1.4 3.4 2.4 2.9 1.2 4.0 – 4.1

S TAT I S T I C A L TA B L E S

2.3 0.3 0.8 3.6 5.9 -1.7 0.4 4.5 0.6 0.3 3.5 3.9 3.5 -0.2 3.8 – 3.4 -0.1 1.2 2.8 4.6 2.6 2.5 1.7 2.8 0.3 1.4 0.5 4.6 -0.3 3.9 4.1 1.8 0.9 4.3 -1.1 2.3 2.1 5.2 2.7 1.6 -0.7 1.4 4.0 5.2 4.5 3.2 4.9 1.1 1.6 3.1 0.9 1.8 0.0 -0.9 0.5 1.1 – 2.8

139

TABLE 6. DEMOGRAPHIC INDICATORS Population (thousands) 2007

Mozambique Myanmar Namibia Nauru Nepal Netherlands New Zealand Nicaragua Niger Nigeria Niue Norway Occupied Palestinian Territory Oman Pakistan Palau Panama Papua New Guinea Paraguay Peru Philippines Poland Portugal Qatar Republic of Korea Romania Russian Federation Rwanda Saint Kitts and Nevis Saint Lucia Saint Vincent and the Grenadines Samoa San Marino Sao Tome and Principe Saudi Arabia Senegal Serbia Seychelles Sierra Leone Singapore Slovakia Slovenia Solomon Islands Somalia South Africa Spain Sri Lanka Sudan Suriname Swaziland Sweden Switzerland Syrian Arab Republic Tajikistan Thailand The former Yugoslav Republic of Macedonia Timor-Leste Togo Tonga

140

Population annual growth rate (%)

Crude death rate

1970–1990 1990–2007

1970 1990 2007

Life expectancy

Crude birth rate

Total fertility rate 2007

% of population urbanized 2007

Average annual growth rate of urban population (%)

under 18

under 5

10909 15617 939 4 12606 3576 1064 2441 7724 75065 1 1092 2095 1013 70609 8 1181 2941 2537 10273 36804 7471 1996 208 10418 4154 27044 4921 17 54 42 88 6 76 9781 5998 2204 44 2889 994 1087 343 229 4389 18385 7742 5504 17961 158 534 1912 1488 8424 3081 16430

3700 4132 248 1 3651 969 285 673 2797 24823 0 284 685 271 19333 2 344 894 734 2817 11095 1767 558 65 2319 1051 7302 1685 5 15 12 24 2 23 2921 1942 610 15 1019 200 260 89 71 1539 5235 2321 1464 5528 44 147 505 358 2544 857 4518

1.8 2.1 3.0 1.7 2.3 0.7 1.0 2.7 3.1 2.8 – 0.4 3.4 4.5 3.2 1.4 2.4 2.4 2.7 2.5 2.6 0.8 0.7 7.2 1.5 0.7 0.7 3.3 -0.5 1.4 0.9 0.6 1.2 2.3 5.2 2.9 0.8 1.6 2.1 1.9 0.7 0.7 3.3 3.1 2.4 0.7 1.6 2.9 0.4 3.2 0.3 0.5 3.5 2.9 1.9

2.7 1.1 2.2 0.6 2.3 0.6 1.2 1.8 3.5 2.6 – 0.6 3.7 2.0 2.2 1.8 1.9 2.5 2.2 1.5 2.1 0.0 0.4 3.5 0.7 -0.5 -0.2 1.7 1.3 1.1 0.6 0.9 1.5 1.8 2.5 2.6 0.2 1.1 2.1 2.3 0.1 0.2 2.7 1.5 1.7 0.8 0.7 2.3 0.8 1.6 0.4 0.5 2.6 1.4 1.0

25 15 15 – 21 8 9 13 26 22 – 10 19 17 16 – 8 19 7 14 11 8 11 13 9 9 9 20 – 8 11 10 – 13 18 21 9 – 29 5 10 10 10 24 14 9 8 20 8 18 10 9 13 10 10

20 11 9 – 13 9 8 7 22 18 – 11 7 4 11 – 5 11 6 7 7 10 10 3 6 11 12 33 – 7 7 7 – 10 5 12 10 – 26 5 10 10 12 22 8 8 7 14 6 10 11 9 5 8 7

20 10 13 – 8 9 7 5 14 17 – 9 4 3 7 – 5 10 6 6 5 10 11 2 6 12 16 17 – 7 7 5 – 8 4 9 12 – 22 5 10 10 7 17 17 9 7 10 7 21 10 8 3 6 9

48 40 43 – 42 17 22 47 58 47 – 17 49 50 43 – 38 42 37 42 40 17 21 34 31 21 14 53 – 41 40 39 – 47 48 48 18 – 47 23 19 17 46 51 38 20 31 47 37 50 14 16 47 40 37

43 27 42 – 39 13 17 37 56 47 – 14 46 38 42 – 26 37 33 30 33 15 12 23 16 14 14 49 – 25 25 34 – 38 36 43 15 – 48 18 15 11 40 46 29 10 21 41 24 41 14 12 37 39 19

40 18 26 – 28 11 14 25 49 40 – 12 36 22 27 – 21 30 25 21 26 9 11 16 9 10 11 44 – 19 20 25 – 33 25 35 13 – 46 8 10 9 31 43 23 11 15 32 20 29 11 9 27 27 15

39 51 53 – 43 74 71 54 40 42 – 74 54 49 51 – 65 43 65 53 57 70 67 60 60 68 69 44 – 64 61 55 – 55 52 45 68 – 35 69 70 69 54 40 53 72 65 44 63 48 74 73 55 60 59

43 59 62 – 54 77 75 64 46 47 – 77 68 70 60 – 72 54 68 65 65 71 74 69 71 69 68 33 – 71 69 65 – 62 68 57 71 – 39 75 72 73 57 42 62 77 70 53 68 59 78 78 68 63 67

42 62 52 – 64 80 80 73 57 47 – 80 73 76 65 – 75 57 72 71 72 76 78 76 79 72 65 46 – 74 71 71 – 65 73 63 74 – 42 80 75 78 63 48 50 81 72 58 70 40 81 82 74 67 70

5.2 2.1 3.2 – 3.3 1.7 2.0 2.8 7.2 5.4 – 1.8 5.2 3.0 3.5 – 2.6 3.8 3.1 2.5 3.3 1.2 1.5 2.7 1.2 1.3 1.3 5.9 – 2.2 2.2 4.0 – 3.9 3.4 4.7 1.8 – 6.5 1.3 1.2 1.3 3.9 6.1 2.7 1.4 1.9 4.3 2.4 3.5 1.8 1.4 3.1 3.4 1.8

36 32 36 100 17 81 86 60 17 50 37 78 72 72 36 68 73 14 60 73 64 62 59 96 81 54 73 21 32 28 47 23 89 60 81 42 – 50 42 100 56 51 18 36 60 77 15 43 75 25 84 76 51 24 33

8.3 2.5 4.1 1.7 6.3 1.2 1.2 3.3 5.9 5.3 – 0.9 4.5 9.3 4.2 2.2 3.0 3.9 4.0 3.4 4.5 1.6 1.8 7.4 4.5 2.2 1.5 5.9 -0.4 2.4 3.0 0.8 3.1 4.2 7.5 4.2 – 4.8 4.8 1.9 2.3 2.3 5.5 4.5 2.9 1.4 1.0 5.3 2.4 7.5 0.4 1.6 4.1 2.2 3.6

6.2 2.8 4.1 0.6 6.4 1.6 1.4 2.6 4.4 5.0 – 1.1 4.2 2.7 3.3 1.8 3.9 2.9 3.6 1.9 4.0 0.1 1.7 3.9 1.3 -0.5 -0.3 10.3 0.8 0.8 1.5 1.4 1.4 3.9 3.0 3.3 – 1.2 4.4 2.4 0.1 0.4 4.4 2.8 2.7 0.9 -0.1 5.4 1.4 2.2 0.5 1.2 3.1 -0.1 1.7

476 590 3260 44

115 199 1061 12

1.0 1.0 3.1 -0.2

0.4 2.6 3.0 0.3

8 22 18 6

8 18 12 6

9 9 10 6

24 46 48 37

17 43 44 30

11 42 37 25

66 40 48 65

71 46 58 70

74 61 58 73

1.4 6.6 4.9 3.8

70 27 42 24

2.0 3.4 4.9 0.4

1.6 4.5 5.2 0.8

T H E S TAT E O F T H E W O R L D ’ S C H I L D R E N 2 0 0 9

1970 1990 2007

1970 1990 2007

1970–1990 1990–2007

…TABLE 6 Population annual growth rate (%)

Crude death rate

1970–1990 1990–2007

1970 1990 2007

Population (thousands) 2007

Trinidad and Tobago Tunisia Turkey Turkmenistan Tuvalu Uganda Ukraine United Arab Emirates United Kingdom United Republic of Tanzania United States Uruguay Uzbekistan Vanuatu Venezuela (Bolivarian Republic of) Viet Nam Yemen Zambia Zimbabwe

Life expectancy

Crude birth rate

Total fertility rate 2007

% of population urbanized 2007

Average annual growth rate of urban population (%)

under 18

under 5

357 3178 24623 1845 4 17349 8389 1006 13100 20630 75992 938 10593 103 10089 30263 11729 6270 6175

94 830 6646 494 1 6028 2025 327 3503 7050 20957 252 2879 31 2896 8109 3740 2030 1706

1.2 2.4 2.3 2.6 1.3 3.2 0.4 10.6 0.1 3.1 1.0 0.5 2.7 2.8 3.0 2.2 3.3 3.2 3.5

0.5 1.3 1.6 1.8 0.7 3.2 -0.6 5.0 0.4 2.7 1.0 0.4 1.7 2.4 2.0 1.6 3.5 2.3 1.4

7 14 12 11 – 16 9 11 12 18 9 10 10 14 7 18 27 17 13

7 6 8 8 – 15 13 3 11 15 9 10 7 7 5 8 13 16 8

8 6 6 8 – 14 16 1 10 13 8 9 7 5 5 5 8 19 19

27 39 39 37 – 49 15 36 16 48 16 21 36 43 37 41 56 49 48

21 27 26 35 – 50 13 27 14 44 16 18 35 37 29 31 51 44 37

15 17 18 22 – 47 9 16 12 40 14 15 23 29 22 19 38 40 28

66 54 56 58 – 50 71 61 72 47 71 69 63 53 65 49 38 49 55

70 69 65 63 – 51 70 73 76 51 75 72 67 64 71 65 54 49 63

70 74 72 63 – 51 68 79 79 52 78 76 67 70 74 74 62 42 43

1.6 1.9 2.1 2.5 – 6.5 1.2 2.3 1.8 5.2 2.1 2.1 2.5 3.8 2.6 2.2 5.5 5.2 3.2

13 66 68 47 57 13 68 77 90 25 81 92 37 24 94 27 28 35 37

-0.5 3.8 4.5 2.3 4.6 5.7 1.4 10.5 0.8 7.5 1.1 0.9 3.1 4.9 3.8 2.7 5.5 4.5 6.1

3.1 2.1 2.6 2.1 2.8 4.4 -0.5 5.1 0.5 4.6 1.6 0.7 1.2 4.2 2.8 3.6 5.6 1.7 3.0

127624 61296 66328 44789 175250 144441 55622 26458 54922 562128 124237 629106

2.9 2.9 2.9 3.0 2.3 1.8 2.2 1.0 0.7 2.2 2.5 1.8

2.6 2.5 2.7 2.0 1.9 1.0 1.5 0.2 0.6 1.6 2.5 1.4

20 19 22 16 17 10 10 9 10 13 21 12

16 15 17 8 11 7 7 11 9 9 16 9

15 15 16 6 8 7 6 12 9 8 12 9

48 47 48 45 39 35 37 20 17 38 47 32

45 43 47 35 33 22 27 18 13 29 42 26

39 38 41 25 24 15 20 14 11 22 36 20

45 46 43 51 49 59 60 67 71 55 44 59

50 51 49 63 59 67 68 68 76 63 51 65

50 50 50 69 64 72 73 68 79 67 55 68

5.2 4.9 5.5 3.0 3.0 1.9 2.4 1.7 1.7 2.8 4.7 2.6

36 29 43 58 29 44 78 62 76 44 28 49

4.7 4.7 4.8 4.4 3.8 3.9 3.3 2.0 1.0 3.8 4.9 2.7

4.3 3.9 4.6 2.9 3.0 3.5 2.2 0.3 0.9 3.1 4.4 2.3

1970 1990 2007

1970 1990 2007

1970–1990 1990–2007

SUMMARY INDICATORS Sub-Saharan Africa Eastern and Southern Africa West and Central Africa Middle East and North Africa South Asia East Asia and Pacific Latin America and Caribbean CEE/CIS Industrialized countries§ Developing countries§ Least developed countries§ World

383988 186875 197113 153178 614747 559872 197226 100110 204334 1962419 383853 2213456

§ Also includes territories within each country category or regional group. Countries and territories in each country category or regional group are listed on page 152.

DEFINITIONS OF THE INDICATORS Life expectancy at birth – Number of years newborn children would live if subject to the mortality risks prevailing for the cross section of population at the time of their birth. Crude death rate – Annual number of deaths per 1,000 population. Crude birth rate – Annual number of births per 1,000 population. Total fertility rate – Number of children who would be born per woman if she lived to the end of her childbearing years and bore children at each age in accordance with prevailing age-specific fertility rates.

MAIN DATA SOURCES Child population – United Nations Population Division. Crude death and birth rates – United Nations Population Division. Life expectancy – United Nations Population Division. Fertility – United Nations Population Division. Urban population – United Nations Population Division.

Urban population – Percentage of population living in urban areas as defined according to the national definition used in the most recent population census.

NOTES

–

Data not available.

S TAT I S T I C A L TA B L E S

141

TABLE 7. ECONOMIC INDICATORS

Countries and territories

1970–1990

Afghanistan Albania Algeria Andorra Angola Antigua and Barbuda Argentina Armenia Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bhutan Bolivia Bosnia and Herzegovina Botswana Brazil Brunei Darussalam Bulgaria Burkina Faso Burundi Cambodia Cameroon Canada Cape Verde Central African Republic Chad Chile China Colombia Comoros Congo Cook Islands Costa Rica Côte d’Ivoire Croatia Cuba Cyprus Czech Republic Democratic People’s Republic of Korea Democratic Republic of the Congo Denmark Djibouti Dominica Dominican Republic Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Ethiopia Fiji Finland

250x 3290 3620 d 2560 11520 6050 2640 35960 42700 2550 15730x 19350 470 d 4220 40710 3800 570 1770 1260 3580 5840 5910 26930x 4590 430 110 540 1050 39420 2430 380 540 8350 2360 3250 680 1540 – 5560 910 10460 c 24940 14450 a 140 54910 1090 4250 3550 3080 1580 2850 12860 230 13200 220 3800 44400

– -0.7x 1.6 – 0.4x 8.3x -0.7 – 1.5 2.4 – 1.8 -1.3x 0.6 1.5 – 2.2 2.9 0 6.8x -1.1 – 8.2 2.3 -2.2x 3.4x 1.3 1.1 – 3.3 2 – -1.3 -1 1.5 6.6 2 0.1x 3.2 – 0.7 -1.9 – – 5.9x – – -2.4 2 – 4.7x 2.1 1.3 4.3 -1.8 – – 1.5x – 0.6x 2.8

142

Average annual rate of inflation (%) 1990–2007 1990–2007

GDP per capita average annual growth rate (%)

GNI per capita (US$) 2007

– 5.2 1.4 – 2.9 1.7 1.5 5.8 2.4 1.8 2.8 0.4x 2.4x 3.1 1.3x 3.4 1.8 2.4 1.3 5.2 1.3 10.8x 4.2 1.2 -0.3x 2.3 2.5 -2.7 6.2x 0.6 2.2 3.3 -0.8 2.4 3.7 8.9 1 -0.4 -0.2 – 2.5 -0.7 3 3.6x 2.2 2.4 – -4.3 1.9 -2.1 2.4 3.8 1.2 2.5 1.8 21.1 -0.3x 5.2 2.2 1.5x 2.8

% of population below international % of central government poverty line expenditure (1997–2006*) of US$1.25 allocated to: per day 2005 defence health education

– 18 13 – 319 2 6 69 2 2 71 3x 2x 4 3x 162 2 1 6 7 7 5x 8 72 4x 51 3 12 3x 4 2 4 3 7 6 5 14 4 8 – 13 6 33 4x 4 7 – 335 2 3 1 11 5 7 4 13 12x 24 5 4x 2

T H E S TAT E O F T H E W O R L D ’ S C H I L D R E N 2 0 0 9

– 1 7 – 54 – 5 11 – – 0 – – 50y – 0 – – 47 26 20 0 31 8y – 0 57 81 40 33 – 21 62 62 1 16y 15 46 54 – 2 23 0 – – 0 – 59 – 19 – 5 10 2 14 – – 0 39 – –

– 4 17 – 34x – 3 – 6 2 12 3 14 10 – 4 3 5x 17x – 5 – 8x 3 – 6 14x 23 – 10 6 – – – 7 12 13 – 10 – 0 4x 4 – 4 4 – 18 5 – – 4 13x 9 3 – – 5 17 6x 4

– 4 4 – 6x – 5 – 15 14 1 16 8 7 – 3 16 8x 6x 9 10 – 5x 6 – 11 7x 2 – 3 9 – – 8x 15 0 9 – 4 – 21 4x 13 23x 6 16 – 0 1 – – 10 11x 3 14 – – 16 1 9x 3

– 2 24 – 15x – 5 – 10 10 4 20 15 17 – 4 3 20x 31x 13 22 – 26x 6 – 5 17x 15 – 12 3 – – 8x 17 2 20 – 4 – 22 21x 8 10x 12 10 – 0 12 – – 13 18x 15 14 – – 7 5 18x 10

ODA inflow in millions US$ 2006

ODA inflow as a % of recipient GNI 2006

3000 321 209 – 171 3 114 213 – – 206 – 57x 1223 -1 73 – 8 375 94 581 494 65 82 – – 871 415 529 1684 – 138 134 284 83 1245 988 30 254 32 24 251 200 78 – – 55 2056 – 117 19 53 189 873 157 27 129 – 1947 56 –

37 3 0 – 1 0 0 4 – – 1 – 1x 2 0 0 – 1 8 10 6 4 1 0 – – 14 52 8 9 – 13 9 6 0 0 1 7 7 0 0 2 0 0 – – 0 27 – 14 7 0 0 1 1 1 15 – 15 2 –

Debt service as a % of exports of goods and services 1990

2006

– 4x 62 – 7 – 30 – – – – – – 17 – – – 5 7 – 31 – 4 19 – 19 6 41 0x 18 – 5 8 2 20 10 39 2 32 – 21 26 – – – – – – – 4x 4 7 27 18 14 2 – – 33 12 –

– 3 – – 13 – 13 6 – – 1 – – 3 – 2 – 16 6x – 8 7 1 36 – 10 – 40 1 15x – 4 – – 19 2 31 – 2x – 4 0 33 – – – – – – 6 13x 8 23 5 12 – – – 7 1 –

…TABLE 7

France Gabon Gambia Georgia Germany Ghana Greece Grenada Guatemala Guinea Guinea-Bissau Guyana Haiti Holy See Honduras Hungary Iceland India Indonesia Iran (Islamic Republic of) Iraq Ireland Israel Italy Jamaica Japan Jordan Kazakhstan Kenya Kiribati Kuwait Kyrgyzstan Lao People’s Democratic Republic Latvia Lebanon Lesotho Liberia Libyan Arab Jamahiriya Liechtenstein Lithuania Luxembourg Madagascar Malawi Malaysia Maldives Mali Malta Marshall Islands Mauritania Mauritius Mexico Micronesia (Federated States of) Moldova Monaco Mongolia Montenegro Morocco Mozambique Myanmar Namibia Nauru

Average annual rate of inflation (%) 1990–2007 1990–2007

GDP per capita average annual growth rate (%)

GNI per capita (US$) 2007

1970–1990

38500 6670 320 2120 38860 590 29630 4670 2440 400 200 1300 560 – 1600 11570 54100 950 1650 3470 2170x 48140 21900 33540 3710 37670 2850 5060 680 1170 31640 590 580 9930 5770 1000 150 9010 d 9920 75880 320 250 6540 3200 500 15310 3070 840 5450 8340 2470 1260 d 1290 5180 2250 320 220x 3360 –

2.2 0.3 0.9 3.2 2.3x -2.1 1.3 4.9 0.2 0.3x -0.2 -1.5 -0.3 – 0.8 3 3.2 2.1 4.7 -2.3 – 2.8 1.9 2.8 -1.3 3 2.5x – 1.2 -5.3 -6.8x – – 3.4 – 3.1 -4.2 -4.9x – – 2.7 -2.4 -0.1 4 – -0.3 6.5 – -0.9 5.1x 1.6 – 1.8x – – – 2 -1x 1.5 -2.3x –

1.6 -0.7 0.2 1.8 1.4 2.1 2.7 2.5 1.4 1.3 -2.6 3.1 -2.1 – 1.5 3.3 2.4 4.5 2.3 2.5 – 5.8 1.7 1.2 0.8 0.9 2 3.2 0 1.8 1.1x -0.5 4.2 4.7 2.5 1.8 1.9 – – 3 3.2 -0.4 0.3 3.2 5.5x 2.2 2.7x -2 0.6 3.7 1.6 -0.2 -1.3 – 2.2 3.4x 2 4.1 6.8x 1.8 –

1 6 8 102 1 24 6 2 7 8 16 8 18 – 15 13 4 6 15 23 – 4 6 3 15 -1 2 75 11 2 4x 46 25 21 8 8 42 – – 29 2 14 30 4 1x 5 3 5 8 6 14 2 52 – 30 – 3 20 24x 9 –

% of population below international % of central government poverty line expenditure (1997–2006*) of US$1.25 allocated to: per day 2005 defence health education

– 5 34 13 – 30 – – 12 70 49 8 55 – 22 0 – 42y 21y 1 – – – – 0 – 0 3 20 – – 22 44 0 – 43 84 – – 0 – 68 74 1 – 51 – – 21 – 1 – 8 – 22 – 3 75 – 49 –

6x – 4x 23 4 5x 8 – 11x 29x 4x – – – 7x 3 0 14 7 14 – 3 19 3 2 4x 19 6 6 – 14 7 – 5 11 5 9x – – 5 1 5 5x 11 5 8x 2 – – 1 3 – 1 – 9 – 13 35x 23 7x –

16x – 7x 7 19 7x 7 10x 11x 3x 1x – – – 10x 6 27 2 1 6 – 16 12 3 7 2x 10 5 7 – 6 12 – 12 2 6 5x – – 12 13 8 7x 6 8 2x 14 – 4x 9 5 – 13 – 6 – 3 5x 3 10x –

7x – 12x 11 1 22x 11 17x 17x 11x 3x – – – 19x 5 11 4 4 7 – 14 15 10 15 6x 16 6 26 – 12 11 – 6 7 25 11x – – 7 10 13 12x 23 14 9x 13 – 23x 15 25 – 9 – 9 – 18 10x 13 22x –

ODA inflow in millions US$ 2006

ODA inflow as a % of recipient GNI 2006

– 31 74 361 – 1176 – 27 487 164 82 173 581 – 587 – – 1379 1405 121 8661 – – – 37 – 580 172 943 -45 – 311 364 – 707 72 269 37 – – – 754 669 240 39 825 11x 55 188 19 247 109 228 – 203 1586 1046 1611 147 145 17

– 0 15 5 – 10 – 6 1 4 27 20 14 – 7 – – 0 0 0 0 – – – 0 – 4 0 5 -36 – 12 13 – 3 4 57 0 – – – 14 30 0 4 13 0x 28 8 0 0 41 6 – 9 68 2 23 0 2 0

Debt service as a % of exports of goods and services 1990

2006

– 4 18 – – 21 – 2 11 18 21 20x 4 – 30 30 – 25 31 1 – – – – 20 – 18 – 26 – – – 8 0x – 4 – – – – – 32 23 12 4 8 – – 24 6 16 – – – 17x – 18 21 17 – –

– 5x 11 7 – 4 – 5x 4 17x 35x 3 3 – 5 32 – 7 9 – – – – – 11 – 5 33 6 – – 4 – 29 19 4 0 – – 21 – 5x – 4 5 4 – – – 6 19 – 10 – 2 – 12 2 1 – –

S TAT I S T I C A L TA B L E S

143

TABLE 7. ECONOMIC INDICATORS

Nepal Netherlands New Zealand Nicaragua Niger Nigeria Niue Norway Occupied Palestinian Territory Oman Pakistan Palau Panama Papua New Guinea Paraguay Peru Philippines Poland Portugal Qatar Republic of Korea Romania Russian Federation Rwanda Saint Kitts and Nevis Saint Lucia Saint Vincent and the Grenadines Samoa San Marino Sao Tome and Principe Saudi Arabia Senegal Serbia Seychelles Sierra Leone Singapore Slovakia Slovenia Solomon Islands Somalia South Africa Spain Sri Lanka Sudan Suriname Swaziland Sweden Switzerland Syrian Arab Republic Tajikistan Thailand The former Yugoslav Republic of Macedonia Timor-Leste Togo Tonga Trinidad and Tobago Tunisia Turkey Turkmenistan Tuvalu Uganda

144

Average annual rate of inflation (%) 1990–2007 1990–2007

GDP per capita average annual growth rate (%)

GNI per capita (US$) 2007

1970–1990

340 45820 28780 980 280 930 – 76450 1230 11120 870 8210 5510 850 1670 3450 1620 9840 18950 12000x 19690 6150 7560 320 9630 5530 4210 2430 45130 870 15440 820 4730 8960 260 32470 11730 20960 730 140x 5760 29450 1540 960 4730 2580 46060 59880 1760 460 3400 3460 1510 360 2320 14100 3200 8020 b – 340

1.2 1.5 0.8 -3.7 -2.2 -1.4 – 3.2 – 3.3 3 – 0.3 -0.7 2.8 -0.6 0.8 – 2.6 – 6.2 0.9x – 1.1 6.3x 5.3x 3.3 – – – -1.5 -0.7 – 2.9 -0.4 5.6 – – 3.4 -0.9 0.1 1.9 3 0.1 -2.4x 3.1 1.8 1.2 2 – 5 – – -0.6 – 0.5 2.5 1.9 – – –

1.9 2.1 2 1.9 -0.6 1.2 – 2.6 -2.9x 2.2x 1.6 – 2.6 -0.6 -0.3 2.7 1.7 4.4 1.9 – 4.4 2.3 1.2 1.1 2.8 1.3 3 2.6 – – 0.3 1.1 2.6x 1.4 -0.4 3.8 3.3 3.5 -1.6 – 1 2.4 3.9 3.6 1.8 -0.3 2.2 0.7 1.5 -2.2 2.9 0.5 – -0.2 2 5.1 3.4 2.2 -6.8x – 3.1

% of population below international % of central government poverty line expenditure (1997–2006*) of US$1.25 allocated to: per day 2005 defence health education

7 2 2 21 4 23 – 4 4x 2x 10 3x 2 8 11 13 7 13 4 – 4 57 71 9 3 2 2 6 – – 4 4 – 3 19 1 8 15 7 – 8 4 9 38 54 12 2 1 7 99 3 30 – 4 4 5 4 52 408x – 8

T H E S TAT E O F T H E W O R L D ’ S C H I L D R E N 2 0 0 9

55 – – 16 66 64 – – – – 23 – 9 36 9 8 23 0 – – – 1 0 77 – 21 – – – – – 34 – – 53 – 0 0 – – 26 – 14 – 16 63 – – – 21 0 0 53 39 – 4 3 3 25 – 52

11 4 3 6x – 3x – 5 – 33 18 – – 4 11x – 5 4 3 – 10 5 12 – – – – – – – 36x 7 – 3 10x 31 5 3 – 38x – 4 18 28 – 8 5 5 24 9 6 – – 11x – 2 5 8 – – 26x

5 10 16 13x – 1x – 16 – 7 1 – 18 7 7x 13 2 11 16 – 0 14 8 5x – – 12 – 18 – 6x 3 – 9 10x 6 19 15 – 1x – 15 6 1 – 8 3 0 2 2 9 – – 5x 7x 9 5 3 – – 2x

18 11 19 15x – 3x – 6 – 15 2 – 16 22 22x 7 19 12 16 – 14 5 4 26x – – 16 – 9 – 14x 14 – 8 13x 22 4 13 – 2x – 2 10 8 – 20 6 5 9 4 20 – – 20x 13x 17 20 10 – – 15x

ODA inflow in millions US$ 2006

514 – – 733 401 11434 9 – 1449 35 2147 37 30 279 56 468 562 – – – – – – 585 5 18 5 47 – 22 25 825 96 14 364 – – 53x 205 392 718 – 796 2058 64 35 – – 27 240 -216 200 210 79 21 13 432 570 26 15 1551

ODA inflow as a % of recipient GNI 2006

6 – – 14 11 12 0 – 33 0 2 23 0 6 1 1 0 – – – – – – 25 1 2 1 11 – 17 0 9 0 2 27 – – 0x 62 0 0 – 3 7 4 1 – – 0 9 0 3 24 4 10 0 1 0 0 0 17

Debt service as a % of exports of goods and services 1990

2006

12 – – 2 12 22 – – – 12 16 – 3 37 12 6 23 4 – – – 0 – 9 3 2 3 5 – 28 – 14 – 7 8 – – – 10 25x – – 10 4 – 6 – – 20 – 14 – – 8 2 – 22 27 – – 47

5 – – 4 5x 16x – – – 1 8 – 25 9x 6 12 18 24 – – – 16 13 9 22x 6x 11x 6 – 37 – 10x – 18 8 – – – 2 – 6 – 7 4 – 2 – – 1 5 9 15 – 0x 3 – 13 25 – – 5

…TABLE 7

Ukraine United Arab Emirates United Kingdom United Republic of Tanzania United States Uruguay Uzbekistan Vanuatu Venezuela (Bolivarian Republic of) Viet Nam Yemen Zambia Zimbabwe

Average annual rate of inflation (%) 1990–2007 1990–2007

GDP per capita average annual growth rate (%)

% of population below international % of central government poverty line expenditure (1997–2006*) of US$1.25 allocated to: per day 2005 defence health education

GNI per capita (US$) 2007

1970–1990

2550 26210x 42740 400 46040 6380 730 1840 7320 790 870 800 340

– -4.8x 2 – 2.2 0.9 – 1.1x -1.6 – – -2.3 -0.4

-0.7 -0.3x 2.4 1.8 2 1.5 1.2 -0.4 -0.2 6 1.6 0.1 -2.1x

93 3x 3 15 2 18 106 3 35 10 17 34 62x

0 – – 88 – 0 46 – 18 21 18 64 –

3 30 7 16x 20 4 – – 5 – 19 4 7

3 7 15 6x 25 7 – – 8 4 4 13 8

965 1245 698 3666 889 2742 5628 5686 38579 2405 491 7952

-0.1 – -0.6 -0.1 2.1 5.7 1.4 – 2.3 2.4 -0.2 2.3

1.3 1.4 1.3 1.6 4.1 6.8 1.5 1.6 1.9 4 2.5 2.4

35 40 26 11 6 5 35 67 2 18 60 8

51 49 53 4 40 17 8 4 – 25 54 –

– – – 15 14 11 4 9 12 10 14 11

– – – 5 2 1 7 7 18 3 5 14

Debt service as a % of exports of goods and services

ODA inflow in millions US$ 2006

ODA inflow as a % of recipient GNI 2006

1990

2006

6 17 4 8x 3 8 – – 21 14 22 14 24

484 – – 1825 – 21 149 49 58 1846 284 1425 280

1 – – 14 – 0 1 13 0 3 2 19 6

– – – 25 – 31 – 2 22 – 4 13 19

16 – – 3 – 43 – 1 13 2 2 3 –

– – – 14 5 7 14 6 4 9 14 6

35799 13793 22006 16660 9191 7477 5989 5928 – 77364 28181 81045

6 3 11 1 1 0 0 0 – 1 9 0

17 14 19 21 21 16 20 – – 19 12 18

7 7 – 8 7 4 21 17 – 10 6 11

SUMMARY INDICATORS Sub-Saharan Africa Eastern and Southern Africa West and Central Africa Middle East and North Africa South Asia East Asia and Pacific Latin America and Caribbean CEE/CIS Industrialized countries§ Developing countries§ Least developed countries§ World

§ Also includes territories within each country category or regional group. Countries and territories in each country category or regional group are listed on page 152.

DEFINITIONS OF THE INDICATORS

MAIN DATA SOURCES

GNI per capita – Gross national income (GNI) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. GNI per capita is gross national income divided by midyear population. GNI per capita in US dollars is converted using the World Bank Atlas method. GDP per capita – Gross domestic product (GDP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output. GDP per capita is gross domestic product divided by midyear population. Growth is calculated from constant price GDP data in local currency. % of population below international poverty line of US$1.25 per day – Percentage of population living on less than US$1.25 per day at 2005 prices, adjusted for purchasing power parity. The new poverty threshold reflects revisions to purchasing power parity exchange rates based on the results of the 2005 International Comparison Program. The revisions reveal that the cost of living is higher across the developing world than previously estimated. As a result of these revisions, poverty rates for individual countries cannot be compared with poverty rates reported in previous editions. More detailed information on the definition, methodology and sources of the data presented is available at <www.worldbank.org>.

GNI per capita – World Bank. GDP per capita – World Bank. Rate of inflation – World Bank. % of population below international poverty line of US$1.25 per day – World Bank. Expenditure on health, education and defence – International Monetary Fund (IMF). ODA – Organisation for Economic Co-operation and Development (OECD). Debt service – World Bank.

ODA – Net official development assistance. Debt service – Sum of interest payments and repayments of principal on external public and publicly guaranteed long-term debts.

NOTES

a: low income ($935 or less). b: lower-middle income ($936 to $3,705). c: upper-middle income ($3,706 to $11,455). d: high income ($11,456 or more).

– Data not available. x Data refer to years or periods other than those specified in the column heading, differ from the standard definition or refer to only part of a country. Such data are not included in the calculation of regional and global averages. y Data refer to years or periods other than those specified in the column heading, differ from the standard definition or refer to only part of a country. Such data are included in the calculation of regional and global averages. * Data refer to the most recent year available during the period specified in the column heading.

S TAT I S T I C A L TA B L E S

145

TABLE 8. WOMEN Maternal mortality ratio†

Countries and territories

Life expectancy: females as a % of males 2007

Adult literacy rate: females as a % of males 2000–2007*

Enrolment and attendance ratios: females as a % of males Net Net Contraceptive primary school secondary school prevalence 2000–2007* 2000–2007* (%) enrolled attending enrolled attending 2000–2007*

Afghanistan Albania Algeria Andorra Angola Antigua and Barbuda Argentina Armenia Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bhutan Bolivia Bosnia and Herzegovina Botswana Brazil Brunei Darussalam Bulgaria Burkina Faso Burundi Cambodia Cameroon Canada Cape Verde Central African Republic Chad Chile China Colombia Comoros Congo Cook Islands Costa Rica Côte d’Ivoire Croatia Cuba Cyprus Czech Republic

100 109 104 – 108 – 111 110 106 107 112 108 104 103 107 119 108 108 104 105 107 107 100 111 106 110 106 106 109 102 106 109 106 105 108 105 111 107 105 – 106 104 110 105 107 108

29 99 79 – 65 – 100 100 – – 99 – 96 82 – 100 – – 53 63 90 95 100 101 96 99 59 78 79 78 – 88 52 31 100 93 100 87 89 – 101 63 98 100 98 –

63 99 98 101 – – 99 105 101 101 97 103 100 104 99 98 100 101 84 100 101 – 103 102 100 99 82 97 98 – 100 99 72 70 – 100 100 95 90 103 102 80 99 101 100 103

Democratic People’s Republic of Korea

106

–

–

–

Democratic Republic of the Congo Denmark Djibouti Dominica Dominican Republic Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Ethiopia Fiji Finland France Gabon

106 106 105 – 109 108 107 109 105 109 117 105 107 108 109 101

67 – – – 101 98 73 94 86 – 100 46 – – – 91

– 101 82 106 103 101 96 100 90 87 99 92 100 100 100 99

89 – 97 – 104 – 97 – 98 93 – 101 – – – 100

146

60 100 99 – 102 – – 99 – – 98 – 100 106 – 101 – 100 87 91 99 97 103 100x – – 90 97 102 94 – 100x 84 76 – – 102 100 101 – 102 87 – – – –

– 98 106 103 – – 110 104 102 – 96 102 105 104 101 102 96 108 50 101 98 – 114 111 105 98 72 – 85 – – 113 71 33 – – 111 101 – 110 110 57 102 103 102 –

Antenatal care coverage (%) 2000–2007* At least once

At least four times

Delivery care coverage (%) 2000–2007* Skilled attendant Institutional at birth delivery

2005

2000–2007* reported

Adjusted

Lifetime risk of maternal death. 1 in:

33 97 112 – 90 – – 102 – – 98 – 111 114 – 102 – 103 66 – 98 100 122 119x – – 91 79 90 93 – – 64 51 – – 111 103 104 – 110 69 – – – –

10 60 61 – 6 53 – 53 – 51x 51 – 62x 56 55x 73 78x 34 17 35y 58 36 48 77x – 86x 17 9 40 29 75x 61 19 3 58y 85 78 26 21 44 96 13 – 77 – 69x

16 97 89 – 80 100 99 93 100x 100x 77 98 97x 51 100 99 – 94 84 88 79 99 97 97 100x – 85 92 69 82 – 98 69 39 95x 90 94 75 86 – 92 85 – 100 – 99x

– – – – – – 89y 71 – – 45 – – 21 – – – 76x 61 – 58 – – 87 – – 18 – 27 60 – 64x 40x 18 – – 83 52x 75 – – 45 – – – 97x

14 100 95 – 47 100 99 98 100x 100x 88 99 98x 18 100 100 – 96 74 56 67 100 94 88x 99x 99 54 34 44 63 98 78 53 14 100 98 96 62 83 98 99 57 100 100 – 100

13 98 95 – 46 – 99 97 – – 78 – 98x 15 – 100 – 88 78 55 57 100 80x 97 – – 51 29 22 61 – 78 51 13 100 88 92 43x 82 – 94 54 – – – –

1600 20 120x – – 0 48 27 – – 29 – 46x 320 0x 12 – 42 400 260 230 9 330x 53 0x 7 480x 620 470 670 – 15 540 1100 20 41 73 380 780 6x 36 540 10 21 0x 8

1800 92 180 – 1400 – 77 76 4 4 82 16 32 570 16 18 8 52 840 440 290 3 380 110 13 11 700 1100 540 1000 7 210 980 1500 16 45 130 400 740 – 30 810 7 45 10 4

8 490 220 – 12 – 530 980 13300 21500 670 2700 1300 51 4400 4800 7800 560 20 55 89 29000 130 370 2900 7400 22 16 48 24 11000 120 25 11 3200 1300 290 52 22 – 1400 27 10500 1400 6400 18100

–

–

62x

–

–

97

–

110x

370

140

– 103 66 110 122 102 94 105 – 67 102 65 110 100 102 –

81 – 84 – 145 – 93 – 95 92 – 77 – – – 106

31 – 18 50x 73 73 59 67 – 8 70 15 44 – 75x 33

85 – 92 100 99 84 70 86 86 70 – 28 – 100x 99x 94

– – 7 – 95 58 59 71 – 41 – 12 – – – 63

74 – 61 99 98 99x 74 92 65 28 100 6 99 100x 99x 86

70 – 74 – 98 74 65 69 – 26 – 5 – 100 – 85

1300 10x 74x 0 160 110 84 71 – 1000x 7 670 34 6x 10x 520

1100 3 650 – 150 210 130 170 680 450 25 720 210 7 8 520

13 17800 35 – 230 170 230 190 28 44 2900 27 160 8500 6900 53

T H E S TAT E O F T H E W O R L D ’ S C H I L D R E N 2 0 0 9

…TABLE 8 Maternal mortality ratio†

Countries and territories

Life expectancy: females as a % of males 2007

Gambia Georgia Germany Ghana Greece Grenada Guatemala Guinea Guinea-Bissau Guyana Haiti Holy See Honduras Hungary Iceland India Indonesia Iran (Islamic Republic of) Iraq Ireland Israel Italy Jamaica Japan Jordan Kazakhstan Kenya Kiribati Kuwait Kyrgyzstan

103 112 107 101 106 105 111 106 107 109 106 – 110 112 104 105 106 105 107 106 105 108 108 109 105 118 104 – 105 113

Lao People’s Democratic Republic

Adult literacy rate: females as a % of males 2000–2007*

– – – 81 98 – 86 42 72 – 106 – 102 100 – 71 93 88 76 – – 99 113 – 93 100 90 – 97 100

Enrolment and attendance ratios: females as a % of males Net Net Contraceptive primary school secondary school prevalence 2000–2007* 2000–2007* (%) enrolled attending enrolled attending 2000–2007*

Antenatal care coverage (%) 2000–2007* At least once

At least four times

109 103 100 97 100 99 96 86 71 – – – 102 99 99 96 97 110 86 101 101 99 100 100 102 100 102 101 99 99

103 101 – 100 – – 94x 87 97 100 107 – 104 – – 96 101 97 88 – – – 100 – 100 99 100 – – 103

94 105 – 91 101 102 92 57 55 – – – – 100 102 – 100 94 70 106 100 101 105 100 103 100 97 111 105 102

87 98 – 99 – – 103x 66 88 110 117 – 123 – – 83 104 – 75 – – – 105 – 104 100 114 – – 103

18 47 75x 17 – 54y 43 9 10 34 32 – 65 77x – 56 61 79 50 – – 60x 69 56 57 51 39 21x 50x 48

98 94 – 92 – 100 84 82 78 81 85 – 92 – – 74 93 77x 84 – – – 91 – 99 100 88 88x 95x 97

– 75 – 69 – – – 49 – – 54 – 81 – – 37 81 94y – – – – 87x – 94 70x 52 – – 81x

Delivery care coverage (%) 2000–2007* Skilled attendant Institutional at birth delivery

2005

2000–2007* reported

Lifetime risk of maternal death. 1 in:

Adjusted

57 98 – 50 – 100 41 38 39 83 26 – 67 100 – 47 72 97 89 100 – – 97 100x 99 100 42 85x 98x 98

55 96 – 49 – – 42 31 36 83 25 – 67 – – 39 40 96 63 100 – – 94 – 99 100 40 – 98x 97

730 23 8x 210x 1x 0 130 980 410 120 630 – 110x 8 – 300 310 25 84 6x 5x 7x 95 8x 41x 70 410 56 5x 100

690 66 4 560 3 – 290 910 1100 470 670 – 280 6 4 450 420 140 300 1 4 3 170 6 62 140 560 – 4 150

32 1100 19200 45 25900 – 71 19 13 90 44 – 93 13300 12700 70 97 300 72 47600 7800 26600 240 11600 450 360 39 – 9600 240

104

83

94

95

86

84

38

27

–

19

–

410

660

33

Latvia Lebanon Lesotho Liberia Libyan Arab Jamahiriya Liechtenstein Lithuania Luxembourg Madagascar Malawi Malaysia Maldives Mali Malta Marshall Islands Mauritania Mauritius Mexico Micronesia (Federated States of)

116 106 99 104 107 – 116 108 106 101 107 102 109 105 – 106 110 107

100 – 123 85 83 – 100 – 85 82 95 100 51 104 – 76 94 96

103 99 104 97 – 103 99 101 100 106 100 100 79 99 99 105 102 99

– 99 108 – – – – – 104 102 – – 74 – – 105 – 100

– 110 154 58 – 111 101 105 104 93 110 109 – 107 108 90 102 99

– 113 171 – – – – – 125 96 – – 68 – – 82 – –

48x 58 37 11 45x – 47x – 27 42 55x 39 8 – 34 8 76 71

– 96 90 85 81x – – – 80 92 79 81 70 – – 64 – 86x

– – 70 – – – – – 40 57 – – 35 – – 16 – –

100 98x 55 51 94x – 100 100 51 54 98 84 45 98x 95x 57 98 93

– – 52 37 – – – – 32 54 98 – 45 – – 49 98 86

9 100x 760x 580x 77x – 13 0x 470 810 28 140 460 – 74 750 22 62

10 150 960 1200 97 – 11 12 510 1100 62 120 970 8 – 820 15 60

8500 290 45 12 350 – 7800 5000 38 18 560 200 15 8300 – 22 3300 670

102

–

–

–

–

–

270x

Moldova Monaco Mongolia Montenegro Morocco Mozambique Myanmar Namibia Nauru

111 – 110 106 106 102 111 101 –

99 – 101 – 63 58 92 99 –

100 – 102 – 94 93 101 106 –

102 – 102 99 95 90 102 101 –

104 – 113 – 84 91 100 132 –

103 – 106 101 93 80 94 132 –

45x

–

–

88

–

68 – 66 39 63 17 34 55 –

98 – 99 97 68 85 76 95 –

89 – – – 31 53 – 70 –

100 – 99 99 63 48 57 81 –

99 – 99 100 61 48 16 81 –

16 – 90 23 230 410 320 270 –

–

–

22 – 46 – 240 520 380 210 –

3700 – 840 – 150 45 110 170 –

S TAT I S T I C A L TA B L E S

147

TABLE 8. WOMEN Maternal mortality ratio†

Countries and territories

Life expectancy: females as a % of males 2007

Adult literacy rate: females as a % of males 2000–2007*

Enrolment and attendance ratios: females as a % of males Net Net Contraceptive primary school secondary school prevalence 2000–2007* 2000–2007* (%) enrolled attending enrolled attending 2000–2007*

83 – – 132 65 87 – –

48 79x 75x 72 11 13 – –

Antenatal care coverage (%) 2000–2007*

Delivery care coverage (%) 2000–2007* Skilled attendant Institutional at birth delivery

At least once

At least four times

44 – 95x 90 46 58 – –

29 – – 78 15 47 – –

19 100x 100x 74 33 35 100 –

18 – – 66 17 33 – –

2005

2000–2007* reported

Nepal Netherlands New Zealand Nicaragua Niger Nigeria Niue Norway

102 106 105 109 97 102 – 106

62 – – 102 37 80 – –

96 99 100 100 71 86 – 101

95 – – 108 70 88 – –

– 101 103 116 63 84 105x 101

280 – 15x 87 650 – – 6x

Occupied Palestinian Territory

104

92

100

101

106

–

50

99

–

99

97

–

Oman Pakistan Palau Panama Papua New Guinea Paraguay Peru Philippines Poland Portugal Qatar Republic of Korea Romania Russian Federation Rwanda Saint Kitts and Nevis Saint Lucia

104 101 – 107 111 106 107 106 112 108 102 110 110 123 107 – 105

87 59 – 99 86 99 90 101 99 97 100 – 99 100 84 – –

102 78 96 99 – 101 102 102 101 99 101 93 100 100 107 122 98

– 85 – – – 100 101 102 – – – – – – 103 – –

99 77 – 111 – 106 100 121 102 110 98 94 98 – – 87 124

– 78 – – – 99 100 127 – – – – – – 88 – –

32 30 17 – 26x 73 71 51 49x – 43x 81x 70 – 17 54y 47x

100 61 – 72x 78x 94 91 88 – – – – 94 – 94 100 99

83y 28 – – – 79 87 70 – – – – 76 – 13 – –

98 39 100 91 41 77 71 60 100 100 99x 100x 98 100 39 100 100

98 34 – 92 – 74 72 38 – – 98x – 98 – 28 – –

13 530x 0x 66 370x 120 190 160 3 8x 10x 20x 15 24 750 0 0

Saint Vincent and the Grenadines

830 6 9 170 1800 1100 – 7

31 10200 5900 150 7 18 – 7700

–

–

64 320 – 130 470 150 240 230 8 11 12 14 24 28 1300 – –

420 74 – 270 55 170 140 140 10600 6400 2700 6100 3200 2700 16 – –

–

–

– – – 18 980 – – 2100 14 6 6 220 1400 400 4 58 450 72 390 3 5 130 170 110

– – – 1400 21 – – 8 6200 13800 14200 100 12 110 16400 850 53 530 120 17400 13800 210 160 500

106

–

96

–

124

–

48y

95

–

100

–

Samoa San Marino Sao Tome and Principe Saudi Arabia Senegal Serbia Seychelles Sierra Leone Singapore Slovakia Slovenia Solomon Islands Somalia South Africa Spain Sri Lanka Sudan Suriname Swaziland Sweden Switzerland Syrian Arab Republic Tajikistan Thailand The former Yugoslav Republic of Macedonia

109 – 106 106 107 106 – 108 105 111 110 103 105 103 108 111 105 110 100 106 107 105 108 113

99 – 89 89 61 – 101 54 94 – 100 – – 98 98 96 73 95 97 – – 85 100 97

100 – 101 – 98 100 101 – – 101 100 99 – 100 99 100 83 103 101 100 99 95 96 99

– – 101 – 102 100 – 101 – – – – 82 104x – – 93 99 103 – – 100 99 100

114 – 111 – 76 – 106 71 – – 101 87 – 112 103 – – 138 121 100 95 95 84 111

– – 105 – 78 103 – 79 – – – – 51 117x – – 133 121 132 – – 101 83 109

43x – 30 32x 12 41 – 5 62x 74x 74x 7 15 60 81x 68 7 46 51 – 82x 58 38 77

– – 97 90x 87 98 – 81 – – 98x – 26 92 – 99 60 90 85 – – 84 77 98

– – – – 40 – – – – – – – 6 73x – – – – 79 – – – – –

100x – 81 91x 52 99 – 43 100x 100 100 85x 33 92 – 99 87 90 69 – – 93 83 97

– – 78 91x 62 99 – 19 – – – – 9 – – 98 – 88 74 – – 70 62 97

107

97

100

96

98

99

–

94

–

99

99

4

10

6500

Timor-Leste Togo Tonga Trinidad and Tobago Tunisia Turkey Turkmenistan

103 106 103 106 106 107 114

– 56 100 99 80 84 100

96 87 97 100 101 96 –

98 93 – 100 98 96 100

– 48 125 104 110 86 –

– 70 – 107 – 83 100

20 17 33 43 66 71 48

61 84 – 96 92 81 99

30 46x – – – 54 83

18 62 95 98 90 83 100

10 63 – 97 89 78 98

– 480x 78 45x 69x 29 14

380 510 – 45 100 44 130

35 38 – 1400 500 880 290

148

T H E S TAT E O F T H E W O R L D ’ S C H I L D R E N 2 0 0 9

0

Adjusted

Lifetime risk of maternal death. 1 in:

29 – 150 – 400 13 57 1800 6x 4 17 140x 1000 170 6x 43 550x 150 590 5x 5x 65 97 12

…TABLE 8 Maternal mortality ratio† Life expectancy: females as a % of males 2007

Countries and territories

Tuvalu Uganda Ukraine United Arab Emirates United Kingdom United Republic of Tanzania United States Uruguay Uzbekistan Vanuatu

Adult literacy rate: females as a % of males 2000–2007*

Enrolment and attendance ratios: females as a % of males Net Net Contraceptive primary school secondary school prevalence 2000–2007* 2000–2007* (%) enrolled attending enrolled attending 2000–2007*

Antenatal care coverage (%) 2000–2007* At least once

At least four times

Delivery care coverage (%) 2000–2007* Skilled attendant Institutional at birth delivery

2005

2000–2007* reported

Adjusted

Lifetime risk of maternal death. 1 in:

– 103 119 106 106

– 80 100 98 –

– – 100 100 101

– 99 102 – –

– 90 101 102 104

– 94 102 – –

32 24 67 28x 84

– 94 99 97x –

– 47 – – –

100 42 99 99x 99x

– 41 99 99x –

– 440 17 3x 7x

– 550 18 37 8

– 25 5200 1000 8200

104 107 110 110 106

83 – 101 98 95

99 102 100 – 99

106 – – 100 –

90 100 – – 87

108 – – 98 –

26 76x 84 65 28

78 – 94x 99 –

62 – 97 79x –

43 99x 100x 100 88x

47 – – 97 –

580 8x 35 28 68x

950 11 20 24 –

24 4800 2100 1400 –

Venezuela (Bolivarian Republic of)

108

99

100

102

114

147

77x

94

–

95

95

61

57

610

Viet Nam Yemen Zambia Zimbabwe

105 105 101 97

93x 53 78x 94

– 76 104 101

100 60x 105 102

– 53 80 96

102 37x 112 93

76 28 34 60

91 41 93 94

29 11x 72 71

88 36 43 69

64 24 44 68

160 370 730 560

150 430 830 880

280 39 27 43

93

95

84

87

23

72

42

45

40

–

920

22

SUMMARY INDICATORS Sub-Saharan Africa

104

Eastern and Southern Africa

104

79

98

101

90

92

30

72

40

40

33

–

760

29

West and Central Africa 103

72

86

89

77

84

17

71

44

49

46

–

1100

17

Middle East and North Africa South Asia East Asia and Pacific Latin America and Caribbean CEE/CIS Industrialized countries§ Developing countries§ Least developed countries§ World

75

105

78

94

96

92

97

56

72

–

81

71

–

210

140

104 106

71 93

94 99

95 101**

– 103**

85 105**

53 78

68 89

34 66**

41 87

35 73

– –

500 150

59 350

109 115 108 105 104 106

99 97 – 86 72 88

100 98 101 96 94 97

101 98 – 96** 97 96**

107 95 101 97** 86 98**

– 96 – 91** 94 91**

69 64 72 60 29 62

94 90 – 77 64 77

83 – – 46** 32 47**

85 94 – 61 39 62

86 89 – 54 32 54

– – – – – –

130 46 8 450 870 400

280 1300 8000 76 24 92

§ Also includes territories within each country category or regional group. Countries and territories in each country category or regional group are listed on page 152.

DEFINITIONS OF THE INDICATORS Life expectancy at birth – Number of years newborn children would live if subject to the mortality risks prevailing for the cross section of population at the time of their birth. Adult literacy rate – Number of literate persons aged 15 and above, expressed as a percentage of the total population in that age group. Enrolment and attendance ratios: females as a % of males – Girls’ net enrolment and attendance ratios divided by those of boys, as a percentage. Primary or secondary school net enrolment ratio – Number of children enrolled in primary or secondary school who are of official primary or secondary school age, expressed as a percentage of the total number of children of official primary or secondary school age. Primary school net attendance ratio – Number of children attending primary or secondary school who are of official primary school age, expressed as a percentage of the total number of children of official primary school age. Secondary school net attendance ratio – Number of children attending secondary or tertiary school who are of official secondary school age, expressed as a percentage of the total number of children of official secondary school age. Contraceptive prevalence – Percentage of women in union aged 15–49 currently using contraception. Antenatal care coverage – Percentage of women 15–49 years old attended at least once during pregnancy by skilled health personnel (doctors, nurses or midwives) and the percentage attended by any provider at least four times. Skilled attendant at birth – Percentage of births attended by skilled health personnel (doctors, nurses or midwives). Institutional delivery – Proportion of women 15–49 years old who gave birth during the two years preceding the survey and delivered in a health facility. Maternal mortality ratio – Annual number of deaths of women from pregnancy-related causes per 100,000 live births. The ‘reported’ column shows country-reported figures that are not adjusted for under-reporting and misclassification. Lifetime risk of maternal death – Lifetime risk of maternal death takes into account both the probability of becoming pregnant and the probability of dying as a result of that pregnancy accumulated across a woman’s reproductive years.

NOTES

– x y * **

MAIN DATA SOURCES Life expectancy – United Nations Population Division. Adult literacy – UNESCO Institute for Statistics (UIS). Primary and secondary school enrolment – UIS. Primary and secondary school attendance – Demographic and Health Surveys (DHS) and Multiple Indicator Cluster Surveys (MICS). Contraceptive prevalence – DHS, MICS, United Nations Population Division and UNICEF. Antenatal care coverage – DHS, MICS and other national household surveys. Skilled attendant at birth – DHS, MICS, WHO and UNICEF. Institutional delivery – DHS, MICS, WHO and UNICEF. Maternal mortality – WHO and UNICEF. Lifetime risk – WHO and UNICEF.

† The maternal mortality data in the column headed ‘reported’ are those reported by national authorities. Periodically, UNICEF, WHO, UNFPA and the World Bank evaluate these data and make adjustments to account for the well-documented problems of under-reporting and misclassification of maternal deaths and to develop estimates for countries with no data. The column with ‘adjusted’ estimates for the year 2005 reflects the most recent of these reviews.

Data not available. Data refer to years or periods other than those specified in the column heading, differ from the standard definition or refer to only part of a country. Such data are not included in the calculation of regional and global averages. Data refer to years or periods other than those specified in the column heading, differ from the standard definition or refer to only part of a country. Such data are included in the calculation of regional and global averages. Data refer to the most recent year available during the period specified in the column heading. Excludes China.

S TAT I S T I C A L TA B L E S

149

TABLE 9. CHILD PROTECTION daughters

Attitude towards domestic violence 2001–2007*

total

urban

rural

total

total

total

total

– – – – – – – – – – – 13 – – – – – 73 – – 1 – 26 45 – – – – – – 36 – – – 93 – – 96 – – 89 74 – 78 – 4 – 96 45 – – – – – – – – – 32 – – – – – – – – 85 72 – – – – – – – – – – 2 19 – – – –

– – – – – – – – – – – 9 – – – – – 76 – – 1 – 21 47 – – – – – – 34 – – – 93 – – 92 – – 86 69 – 72 – 2 – 94 39 – – – – – – – – – 21 – – – – – – – – 81 60 – – – – – – – – – – 2 28 – – – –

– – – – – – – – – – – 15 – – – – – 71 – – 2 – 29 44 – – – – – – 39 – – – 96 – – 98 – – 91 76 – 83 – 6 – 96 48 – – – – – – – – – 36 – – – – – – – – 87 84 – – – – – – – – – – 2 14 – – – –

– – – – – – – – – – – 2 – – – – – 25 – – 1 – 7 21 – – – – – – 9 – – – 49 – – 28y – – 63 38 – 64 – 1 – 57 35 – – – – – – – – – 21 – – – – – – – – 69 66 – – – – – – – – – – 1 10 – – – –

– 30 68 – – 22 49 – – – 12 47 – – 5 – – 71 – 55 56 – – – – – – – 76 – 65 – – – – 9 – 50 – – – 81 – 74 7 47 – 86 52 18 29 16 54 25 59 6 90 10 68 38 – – – – 28 28 70 75 – – 21 20 11 – – – 35 23 17 70 65 – – – –

– 16 1y – – 12y – – 21 – 44 – – – 10 – – – – – 33 1y 48 3y – 2y 3y – – – – – – – – 5y – 8y – – – – – – 30 21 2y – – – – – – – 21 24 – – – – – – – – – – – – 30 – – 26 14 – – – – – – – – – – – –

– 49 86 – – – 75 – – 83 68 – – – 36 – – 83 – – 92 – 88 – – – – – – – 90 – – – 70 83 – 92 – – – – – 84 66 89 – – 80 74 – – – – 84 87 – 52 – 51 – – – – – – – – – – – 79 61 – – – – – – – – 95 – – –

Female genital mutilation/cutting 2002–2007* Child labour (5–14 years) 1999–2007* Countries and territories

Afghanistan Albania Algeria Angola Argentina Armenia Azerbaijan Bahrain Bangladesh Belarus Belize Benin Bhutan Bolivia Bosnia and Herzegovina Botswana Brazil Burkina Faso Burundi Cambodia Cameroon Cape Verde Central African Republic Chad Chile China Colombia Comoros Congo Costa Rica Côte d’Ivoire Cuba Democratic People’s Republic of Korea Democratic Republic of the Congo Djibouti Dominican Republic Ecuador Egypt El Salvador Equatorial Guinea Eritrea Ethiopia Gabon Gambia Georgia Ghana Guatemala Guinea Guinea-Bissau Guyana Haiti Honduras India Indonesia Iraq Jamaica Jordan Kazakhstan Kenya Kyrgyzstan Lao People’s Democratic Republic Lebanon Lesotho Liberia Madagascar Malawi Maldives Mali Mauritania Mexico Moldova Mongolia Montenegro Morocco Mozambique Myanmar Namibia Nepal Nicaragua Niger Nigeria Occupied Palestinian Territory Pakistan Panama Paraguay

150

total

male

female

30 12 5 24 7y 4y 7y 5 13 5 40 46 19y 22 5 – 6y 47y 19 45y 31 3y 47 53 3 – 5 27 25 5 35 – – 32 8 10 12 7 6y 28 – 53 – 25 18 34 29 25 39 19 21 16 12 4y 11 6 – 2 26 4 25 7 23 – 32 29 – 34 4y 16y 32 18 10 11y – – 13y 31y 15 43 13y – – 3 15

28 14 6 22 8y – 8y 6 18 6 39 47 16y 22 7 – 7y 46y 19 45y 31 4y 44 54 3 – 6 26 24 6 36 – – 29 8 12 12 8 9y 28 – 59 – 20 20 34 25 26 41 21 22 16 12 5y 12 7 – 2 27 4 24 8 25 – 36 28 – 35 5y 15y 32 19 12 13y – – 15y 30y 18 43 – – – 5 17

33 9 4 25 5y – 5y 3 8 4 42 45 22y 22 4 – 4y 48y 19 45y 30 3y 49 51 2 – 4 28 25 3 34 – – 34 8 7 13 5 4y 28 – 46 – 29 17 34 32 24 37 17 19 15 12 4y 9 5 – 2 25 3 26 6 21 – 28 29 – 33 3y 16y 33 17 8 9y – – 12y 33y 11 43 – – – 2 12

Child marriage 1998–2007*

Birth registration 2000–2007*

total urban rural

total urban rural

43 8 2 – – 10 12 – 64 7 – 34 – 26 6 10x 24x 48 18 23 36 – 61 72 – – 23 30x 31 – 35 – – – 5 40 22 17 27 – 47 49 34 36 17 22 34 63 24 20 30 39 47 24 17 9 10 7 25 10 – 11 23 40 39 50 – 71 35 28x 19 9 5 16 56 – 9 51 43 75 43 19 32x – 24x

– 7 2 – – 7 – – 58 6 – 19 – 22 2 13x 22x 29 14 18 23 – 57 65 – – 19 23x 24 – 27 – – – 5 38 – 9 – – 31 27 30 24 12 15 25 45 14 15 27 33 29 15 16 7 – 6 19 7 – – 13 – 29 38 – 60 27 31x 16 7 5 12 41 – – 41 36 42 27 – 21x – 18x

– 8 2 – – 16 – – 69 10 – 47 – 37 7 9x 30x 61 18 25 57 – 64 73 – – 38 33x 40 – 43 – – – 13 47 – 22 – – 60 55 49 45 23 28 44 75 32 22 33 46 56 33 19 11 – 9 27 14 – – 26 – 42 53 – 77 44 21x 22 12 5 21 66 – – 54 55 84 52 – 37x – 32x

6 98 99 29 91y 96 94 – 10 – 94 60 – 74 100 58 89y 64 60 66 70 – 49 9 95y – 90 83 81y – 55 100y 99 34 89 78 85 99 – 32 – 7 89 55 92 51 – 43 39 93 81 94 41 55 95 89 – 99 48y 94 59 – 26 – 75 – 73 53 56 – 98 98 98 85 – 65y 67 35 81 32 33y 96y – – –

12 4 97 98 99 99 34 19 – – 97 95 96 92 – – 13 9 – – 92 97 68 56 – – 76 72 99 100 66 52 – – 86 58 62 60 71 66 86 58 – – 72 36 36 3 – – – – 97 77 87 83 88y 75y – – 79 41 100y 100y 99 99 30 36 90 82 82 70 85 85 99 99 – – 43 24 – – 29 5 90 87 57 54 97 87 69 42 – – 78 33 53 33 96 92 87 78 95 93 59 35 69 43 95 96 88 89 – – 99 99 64y 44y 96 93 71 56 – – 39 24 – – 87 72 – – – – 75 45 75 42 – – 98 98 98 99 98 99 92 80 – – 88y 59y 83 59 42 34 90 73 71 25 52y 25y 97y 96y – – – – – –

T H E S TAT E O F T H E W O R L D ’ S C H I L D R E N 2 0 0 9

a

b

women (15–49 years)

Child disability◊ 1999–2007*

Child discipline 2005–2007*

…TABLE 9 daughters

Attitude towards domestic violence 2001–2007*

Child disability◊ 1999–2007*

Child discipline 2005–2007*

total

Female genital mutilation/cutting 2002–2007* Child labour (5–14 years) 1999–2007* Countries and territories

total

Child marriage 1998–2007*

Birth registration 2000–2007*

total urban rural

total urban rural

male

female

20 13 4y 1 36 8 24 5 49 45 – 9 14 – 9 5 9 8 7 4 29 1 – 4 – 37 8 37 8y 2 9 15 11y 11y 12y

19 11 3y 1 35 7 21 4 48 54 – 7 12 – 9 3 11 8 5 4 30 1 – 6 – 36 7 34 8y 2 6 16 12y 12y 14y

18 14 – – 13 33 39 6 56 45 8 12y 34 19 5 13 13 20 4 – 24 8 10x 18 7 46 6 41 – 7 – 10 32 42 34

13 10 – – 9 31 23 4 34 35 5 – 24 14 1 15 13 12 3 – 15 – 7x 17 9 27 6 23 – 9 – 3 28 32 20

31 22 – – 14 37 55 8 66 52 12 – 40 33 6 12 13 23 4 – 36 – 14x 22 6 52 10 49 – 7 – 13 35 49 44

36n 38 34n 10 13 11** 11 5 – 17*** 31 –

34n 33 35n 8 12 10** 10 5 – 15*** 28 –

40 36 44 18 49 19** – 11 – 36** 49 –

25 20 28 12 32 12** – 11 – 22** 37 –

48 43 55 23 58 25** – 13 – 46** 55 –

Peru 19 Philippines 12 Portugal 3y Romania 1 Rwanda 35 Sao Tome and Principe 8 Senegal 22 Serbia 4 Sierra Leone 48 Somalia 49 South Africa – Sri Lanka 8 Sudan 13 Suriname – Swaziland 9 Syrian Arab Republic 4 Tajikistan 10 Thailand 8 The former Yugoslav Republic of Macedonia 6 Timor-Leste 4 Togo 29 Trinidad and Tobago 1 Tunisia – Turkey 5 Turkmenistan – Uganda 36 Ukraine 7 United Republic of Tanzania 36 Uruguay 8y Uzbekistan 2 Venezuela (Bolivarian Republic of) 8 Viet Nam 16 Yemen 11y Zambia 12y Zimbabwe 13y

93 83 – – 82 69 55 99 48 3 78y – 33 97 30 95 88 99 94 53y 78 96 – 84 96 21 100 8 – 100 92 88 22 10 74

95 87 – – 79 70 75 99 62 6 – – 53 98 38 96 85 100 95 – 93 – – 87 96 24 100 22 – 100 – 94 38 16 83

90 78 – – 83 67 44 99 44 2 – – 22 95 28 95 90 99 93 – 69 – – 79 95 21 100 4 – 100 – 86 16 6 71

a

b

women (15–49 years)

total

total

total

– – – – – – 28 – 94 98 – – 89 – – – – – – – 6 – – – – 1 – 15 – – – – 23x 1 –

– – – – – – 22 – 86 97 – – 88 – – – – – – – 4 – – – – 0 – 7 – – – – 26x 1 –

– – – – – – 34 – 97 98 – – 90 – – – – – – – 7 – – – – 1 – 18 – – – – 22x 1 –

– – – – – – 20 – 35 46 – – 43y – – – – – – – 1 – – – – – – 4 – – – – 20x – –

– 24 – – 48 32 65 6 85 76y – – – 13 38 – 74y – 21 – 53 8 – 39 38y 70 5 60 – 70 – 64 – 85 48

– – – – 2y 29 – 14 34 – – – – 39 – – – 15 21 – – – – – – 11y – – – 3 – 4y 29 – –

– – – – – – – 73 92 – – – – 84 – 87 74 – 69 – 90 75 – – – – 70 – – – – 93 94 – –

34 43 28 – – – – – – – – –

30 36 28 – – – – – – – – –

37 46 29 – – – – – – – – –

19 28 14 – – – – – – – – –

65 65 64 – 53 34** – 32 – 51** – –

– – – – – 3 – – – – – –

– – – 89 – – – – – – – –

total

urban

rural

SUMMARY INDICATORS Sub-Saharan Africa Eastern and Southern Africa West and Central Africa Middle East and North Africa South Asia East Asia and Pacific Latin America and Caribbean CEE/CIS Industrialized countries§ Developing countries§ Least developed countries§ World

35n 36 35n 9 13 10** 11 5 – 16*** 30 –

37 32 41 75 36 72** 89 92 – 50** 29 –

52 41 57 86 52 81** 92 93 – 65** 42 –

30 24 35 67 30 67** 82 92 – 39** 25 –

§ Also includes territories within each country category or regional group. Countries and territories in each country category or regional group are listed on page 152.

MAIN DATA SOURCES

DEFINITIONS OF THE INDICATORS Child labour – Percentage of children 5–14 years old involved in child labour at the moment of the survey. A child is considered to be involved in child labour under the following conditions: (a) children 5–11 years old who, during the week preceding the survey, did at least one hour of economic activity or at least 28 hours of domestic work, or (b) children 12–14 years old who, during the week preceding the survey, did at least 14 hours of economic activity or at least 28 hours of domestic work. Child labour background variables – Sex of the child; urban or rural place of residence; poorest 20 per cent or richest 20 per cent of the population constructed from household assets (a more detailed description of the household wealth estimation procedure can be found at <www.childinfo.org>); mother’s education, reflecting mothers with and without some level of education. Child marriage – Percentage of women 20–24 years old who were married or in union before they were 18 years old. Birth registration – Percentage of children less than five years old who were registered at the moment of the survey. The numerator of this indicator includes children whose birth certificate was seen by the interviewer or whose mother or caretaker says the birth has been registered. MICS data refer to children alive at the time of the survey. Female genital mutilation/cutting – (a) Women – the percentage of women 15–49 years old who have been mutilated/cut. (b) Daughters – the percentage of women 15–49 years old with at least one mutilated/cut daughter. Female genital mutilation/cutting is the cutting or alteration of the female genitalia for social reasons. Attitudes towards domestic violence – Percentage of women 15–49 years old who consider a husband to be justified in hitting or beating his wife for at least one of the specified reasons. Women were asked whether a husband is justified in hitting or beating his wife under a series of circumstances, i.e., if his wife burns the food, argues with him, goes out without telling him, neglects the children or refuses sexual relations. Child disability – Percentage of children 2–9 years old with at least one reported disability (i.e., cognitive, motor, seizure, vision, hearing or speech). Child discipline – Percentage of children 2–14 years old who experience any psychological or physical punishment.

NOTES

– x y n ◊ * ** ***

Child labour – Multiple Indicator Cluster Surveys (MICS) and Demographic and Health Surveys (DHS). Child marriage – MICS, DHS and other national surveys. Birth registration – MICS, DHS, other national surveys and vital registration systems. Female genital mutilation/cutting – MICS, DHS and other national surveys. Attitudes towards domestic violence – MICS, DHS and other national surveys. Child disability – MICS, DHS and other national surveys. Child discipline – MICS, DHS and other national surveys.

Data not available. Data refer to years or periods other than those specified in the column heading, differ from the standard definition or refer to only part of a country. Such data are not included in the calculation of regional and global averages. Data refer to years or periods other than those specified in the column heading, differ from the standard definition or refer to only part of a country. Such data are included in the calculation of regional and global averages. Excludes Nigeria. A fuller explanation of the methodology and the recent changes in calculating these estimates can be found in the General note on the data, page 114. Data refer to the most recent year available during the period specified in the column heading. Excludes China. Excludes China and Nigeria.

S TAT I S T I C A L TA B L E S

151

Summary indicators Averages given at the end of each table are calculated using data from the countries and territories as grouped below. Sub-Saharan Africa Angola; Benin; Botswana; Burkina Faso; Burundi; Cameroon; Cape Verde; Central African Republic; Chad; Comoros; Congo; Côte d’Ivoire; Democratic Republic of the Congo; Equatorial Guinea; Eritrea; Ethiopia; Gabon; Gambia; Ghana; Guinea; GuineaBissau; Kenya; Lesotho; Liberia; Madagascar; Malawi; Mali; Mauritania; Mauritius; Mozambique; Namibia; Niger; Nigeria; Rwanda; Sao Tome and Principe; Senegal; Seychelles; Sierra Leone; Somalia; South Africa; Swaziland; Togo; Uganda; United Republic of Tanzania; Zambia; Zimbabwe Middle East and North Africa Algeria; Bahrain; Djibouti; Egypt; Iran (Islamic Republic of); Iraq; Jordan; Kuwait; Lebanon; Libyan Arab Jamahiriya; Morocco; Occupied Palestinian Territory; Oman; Qatar; Saudi Arabia; Sudan; Syrian Arab Republic; Tunisia; United Arab Emirates; Yemen South Asia Afghanistan; Bangladesh; Bhutan; India; Maldives; Nepal; Pakistan; Sri Lanka East Asia and Pacific Brunei Darussalam; Cambodia; China; Cook Islands; Democratic People’s Republic of Korea; Fiji; Indonesia; Kiribati; Lao People’s Democratic Republic; Malaysia; Marshall Islands; Micronesia (Federated States of); Mongolia; Myanmar; Nauru; Niue; Palau; Papua New Guinea; Philippines; Republic of Korea; Samoa; Singapore; Solomon Islands; Thailand; Timor-Leste; Tonga; Tuvalu; Vanuatu; Viet Nam Latin America and Caribbean Antigua and Barbuda; Argentina; Bahamas; Barbados; Belize; Bolivia; Brazil; Chile;

152

Colombia; Costa Rica; Cuba; Dominica; Dominican Republic; Ecuador; El Salvador; Grenada; Guatemala; Guyana; Haiti; Honduras; Jamaica; Mexico; Nicaragua; Panama; Paraguay; Peru; Saint Kitts and Nevis; Saint Lucia; Saint Vincent and the Grenadines; Suriname; Trinidad and Tobago; Uruguay; Venezuela (Bolivarian Republic of) CEE/CIS Albania; Armenia; Azerbaijan; Belarus; Bosnia and Herzegovina; Bulgaria; Croatia; Georgia; Kazakhstan; Kyrgyzstan; Moldova, Republic of; Montenegro; Romania; Russian Federation; Serbia; Tajikistan; The former Yugoslav Republic of Macedonia; Turkey; Turkmenistan; Ukraine; Uzbekistan Industrialized countries/territories Andorra; Australia; Austria; Belgium; Canada; Cyprus; Czech Republic; Denmark; Estonia; Finland; France; Germany; Greece; Holy See; Hungary; Iceland; Ireland; Israel; Italy; Japan; Latvia; Liechtenstein; Lithuania; Luxembourg; Malta; Monaco; Netherlands; New Zealand; Norway; Poland; Portugal; San Marino; Slovakia; Slovenia; Spain; Sweden; Switzerland; United Kingdom; United States Developing countries/territories Afghanistan; Algeria; Angola; Antigua and Barbuda; Argentina; Armenia; Azerbaijan; Bahamas; Bahrain; Bangladesh; Barbados; Belize; Benin; Bhutan; Bolivia; Botswana; Brazil; Brunei Darussalam; Burkina Faso; Burundi; Cambodia; Cameroon; Cape Verde; Central African Republic; Chad; Chile; China; Colombia; Comoros; Congo; Cook Islands; Costa Rica; Côte d’Ivoire; Cuba; Cyprus; Democratic Republic of the Congo; Democratic People’s Republic of Korea; Djibouti; Dominica; Dominican Republic; Ecuador; Egypt; El Salvador; Equatorial Guinea; Eritrea; Ethiopia; Fiji; Gabon; Gambia; Georgia; Ghana; Grenada; Guatemala; Guinea; Guinea-Bissau; Guyana; Haiti; Honduras; India; Indonesia; Iran (Islamic

T H E S TAT E O F T H E W O R L D ’ S C H I L D R E N 2 0 0 9

Republic of); Iraq; Israel; Jamaica; Jordan; Kazakhstan; Kenya; Kiribati; Kuwait; Kyrgyzstan; Lao People’s Democratic Republic; Lebanon; Lesotho; Liberia; Libyan Arab Jamahiriya; Madagascar; Malawi; Malaysia; Maldives; Mali; Marshall Islands; Mauritania; Mauritius; Mexico; Micronesia (Federated States of); Mongolia; Morocco; Mozambique; Myanmar; Namibia; Nauru; Nepal; Nicaragua; Niger; Nigeria; Niue; Occupied Palestinian Territory; Oman; Pakistan; Palau; Panama; Papua New Guinea; Paraguay; Peru; Philippines; Qatar; Republic of Korea; Rwanda; Saint Kitts and Nevis; Saint Lucia; Saint Vincent and the Grenadines; Samoa; Sao Tome and Principe; Saudi Arabia; Senegal; Seychelles; Sierra Leone; Singapore; Solomon Islands; Somalia; South Africa; Sri Lanka; Sudan; Suriname; Swaziland; Syrian Arab Republic; Tajikistan; Thailand; Timor-Leste; Togo; Tonga; Trinidad and Tobago; Tunisia; Turkey; Turkmenistan; Tuvalu; Uganda; United Arab Emirates; United Republic of Tanzania; Uruguay; Uzbekistan; Vanuatu; Venezuela (Bolivarian Republic of); Viet Nam; Yemen; Zambia; Zimbabwe Least developed countries/territories Afghanistan; Angola; Bangladesh; Benin; Bhutan; Burkina Faso; Burundi; Cambodia; Cape Verde; Central African Republic; Chad; Comoros; Democratic Republic of the Congo; Djibouti; Equatorial Guinea; Eritrea; Ethiopia; Gambia; Guinea; Guinea-Bissau; Haiti; Kiribati; Lao People’s Democratic Republic; Lesotho; Liberia; Madagascar; Malawi; Maldives; Mali; Mauritania; Mozambique; Myanmar; Nepal; Niger; Rwanda; Samoa; Sao Tome and Principe; Senegal; Sierra Leone; Solomon Islands; Somalia; Sudan; Timor-Leste; Togo; Tuvalu; Uganda; United Republic of Tanzania; Vanuatu; Yemen; Zambia

Measuring human development An introduction to Table 10 If development is to be measured by a comprehensive and inclusive assessment, then the need arises for a method of measuring human as well as economic progress. From UNICEF’s point of view, there is a need for an agreed method of measuring the level of child well-being and its rate of change. The under-five mortality rate (U5MR) is used in Table 10 (pages 150–153 ) as the principal indicator of such progress. In 2007, the number of children dying before their fifth birthday fell to 9.2 million. In comparison, in 1960, approximately 20 million children were dying every year – highlighting an important longterm decline in the global number of underfive deaths. The U5MR has several advantages. First, it measures an end result of the development process rather than an ‘input’, such as school enrolment level, per capita calorie availability or the number of doctors per thousand population – all of which are means to an end. Second, the U5MR is known to be the result of a wide variety of inputs: antibiotics to treat pneumonia; insecticide-treated mosquito nets to prevent malaria; the nutritional health and the health knowledge of mothers; the level of immunization and oral rehydration therapy use; the availability of maternal and child health services, including prenatal care; income and food availability in the family; the availability of safe drinking water and basic sanitation; and the overall safety of the child’s environment. Third, the U5MR is less susceptible to the fallacy of the average than, for example, per capita gross national income (GNI). This is because the natural scale does not allow the children of the rich to be one thousand times as likely to survive, even if the human-made scale does permit them to have one thousand times as much income. In other words, it is much more difficult for a wealthy minority to affect a nation’s U5MR, and it therefore

presents a more accurate, if far from perfect, picture of the health status of the majority of children and of society as a whole. The speed of progress in reducing the U5MR can be measured by calculating its average annual rate of reduction (AARR). Unlike the comparison of absolute changes, the AARR reflects the fact that the lower limits to U5MR are approached only with increasing difficulty. As lower levels of under-five mortality are reached, for example, the same absolute reduction obviously represents a greater percentage reduction. The AARR therefore shows a higher rate of progress for a 10-point reduction, for example, if that reduction happens at a lower level of underfive mortality. A fall in the U5MR of 10 points from 100 to 90 represents a reduction of 10 per cent, whereas the same 10-point fall from 20 to 10 represents a reduction of 50 per cent. (A negative value for the percentage reduction indicates an increase in the U5MR over the period specified.) When used in conjunction with gross domestic product (GDP) growth rates, the U5MR and its rate of reduction can therefore give a picture of the progress being made by any country, territory or region, and over any period of time, towards the satisfaction of some of the most essential of human needs. As Table 10 shows, there is no fixed relationship between the annual reduction rate of the U5MR and the annual rate of growth in per capita GDP. Such comparisons help to shed light on the relationship between economic advances and human development. Finally, the table gives the total fertility rate for each country and territory and the corresponding average annual rate of reduction. It is clear that many of the nations that have achieved significant reductions in their U5MR have also achieved significant reductions in fertility.

S TAT I S T I C A L TA B L E S

153

TABLE 10. THE RATE OF PROGRESS

Countries and territories

Afghanistan Albania Algeria Andorra Angola Antigua and Barbuda Argentina Armenia Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bhutan Bolivia Bosnia and Herzegovina Botswana Brazil Brunei Darussalam Bulgaria Burkina Faso Burundi Cambodia Cameroon Canada Cape Verde Central African Republic Chad Chile China Colombia Comoros Congo Cook Islands Costa Rica Côte d’Ivoire Croatia Cuba Cyprus Czech Republic Democratic People’s Republic of Korea Democratic Republic of the Congo Denmark Djibouti Dominica Dominican Republic Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Ethiopia Fiji Finland

154

Under-5 mortality rate

Average annual rate of reduction (%)Θ

Under-5 mortality rank

1970

1990

2007

2 126 75 189 16 140 125 99 160 173 71 134 145 58 137 134 166 97 25 45 61 132 69 107 148 137 7 10 40 18 160 84 12 3 148 107 112 55 24 117 140 22 160 156 166 173

320 107 220 – – – 68 – 21 29 – 49 82 238 54 – 24 – 256 288 243 82 144 134 78 33 281 219 – 215 22 – 232 – 98 118 105 215 142 – 83 236 42 39 31 24

260 46 69 6 258 – 29 56 9 9 98 29 19 151 17 24 10 43 184 148 125 22 57 58 11 18 206 189 119 139 8 60 171 201 21 45 35 120 104 32 18 151 13 13 11 12

257 15 37 3 158 11 16 24 6 4 39 13 10 61 12 13 5 25 123 84 57 14 40 22 9 12 191 180 91 148 6 32 172 209 9 22 20 66 125 18 11 127 6 7 5 4

1.0 4.2 5.8 – – – 4.3 – 4.2 5.9 – 2.6 7.3 2.3 5.8 – 4.4 – 1.7 3.3 3.3 6.6 4.6 4.2 9.8 3.0 1.6 0.7 – 2.2 5.1 – 1.5 – 7.7 4.8 5.5 2.9 1.6 – 7.6 2.2 5.9 5.5 5.2 3.5

0.1 6.6 3.7 4.1 2.9 – 3.5 5.0 2.4 4.8 5.4 4.7 3.8 5.3 2.0 3.6 4.1 3.2 2.4 3.3 4.6 2.7 2.1 5.7 1.2 2.4 0.4 0.3 1.6 -0.4 1.7 3.7 0.0 -0.2 5.0 4.2 3.3 3.5 -1.1 3.4 2.9 1.0 4.5 3.6 4.6 6.5

1 67 46 50 39 – 45 57 33 56 60 55 47 60 29 46 50 42 33 43 54 36 30 62 18 33 7 5 24 -6 25 47 -1 -4 57 51 43 45 -20 44 39 16 54 46 55 67

62

70

55

55

1.2

0.0

0

15 173 22 140 73 107 77 99 4 50 160 27 117 173

235 16 – 60 131 140 236 162 – 237 20 241 – 16

200 9 175 18 66 57 93 60 170 147 18 204 22 7

161 4 127 11 38 22 36 24 206 70 6 119 18 4

0.8 2.9 – 6.0 3.4 4.5 4.7 5.0 – 2.4 0.5 0.8 – 4.1

1.3 4.8 1.9 2.9 3.2 5.6 5.6 5.4 -1.1 4.4 6.5 3.2 1.2 3.3

20 56 27 39 42 61 61 60 -21 52 67 42 18 43

1970–1990 1990–2007

T H E S TAT E O F T H E W O R L D ’ S C H I L D R E N 2 0 0 9

Reduction since 1990 (%)Θ

GDP per capita average annual growth rate (%) 1970–1990 1990–2007

– -0.7x 1.6 – 0.4x 8.3x -0.7 – 1.5 2.4 – 1.8 -1.3x 0.6 1.5 – 2.2 2.9 0 6.8x -1.1 – 8.2 2.3 -2.2x 3.4x 1.3 1.1 – 3.3 2 – -1.3 -1 1.5 6.6 2 0.1x 3.2 – 0.7 -1.9 – – 5.9x – – -2.4 2 – 4.7x 2.1 1.3 4.3 -1.8 – – 1.5x – 0.6x 2.8

– 5.2 1.4 – 2.9 1.7 1.5 5.8 2.4 1.8 2.8 0.4x 2.4x 3.1 1.3x 3.4 1.8 2.4 1.3 5.2 1.3 10.8x 4.2 1.2 -0.3x 2.3 2.5 -2.7 6.2x 0.6 2.2 3.3 -0.8 2.4 3.7 8.9 1 -0.4 -0.2 – 2.5 -0.7 3 3.6x 2.2 2.4 – -4.3 1.9 -2.1 2.4 3.8 1.2 2.5 1.8 21.1 -0.3x 5.2 2.2 1.5x 2.8

Total fertility rate

Average annual rate of reduction (%)

1970

1990

2007

7.7 4.9 7.4 – 7.3 – 3.1 3.2 2.7 2.3 4.6 3.6 6.5 6.4 3.1 2.3 2.2 6.3 7.0 6.7 6.6 2.9 6.6 5.0 5.7 2.2 7.6 6.8 5.9 6.2 2.2 7.0 5.7 6.5 4.0 5.6 5.6 7.1 6.3 – 5.0 7.4 2.0 4.0 2.6 2.0

8.0 2.9 4.7 – 7.2 – 3.0 2.5 1.9 1.5 3.0 2.6 3.7 4.4 1.7 1.9 1.6 4.5 6.8 5.9 4.9 1.7 4.7 2.8 3.2 1.7 7.3 6.8 5.8 5.9 1.7 5.5 5.7 6.7 2.6 2.2 3.0 6.1 5.4 – 3.2 6.6 1.7 1.8 2.4 1.8

7.1 2.1 2.4 – 6.5 – 2.3 1.4 1.8 1.4 1.8 2.0 2.3 2.9 1.5 1.2 1.6 3.0 5.5 2.2 3.5 1.2 2.9 2.3 2.3 1.3 6.0 6.8 3.2 4.4 1.5 3.4 4.6 6.2 1.9 1.7 2.2 4.4 4.5 – 2.1 4.5 1.3 1.5 1.6 1.2

1970–1990 1990–2007

-0.2 2.6 2.3 – 0.1 – 0.1 1.2 1.9 2.3 2.2 1.6 2.8 1.9 3.1 1.0 1.7 1.7 0.2 0.6 1.5 2.6 1.7 2.9 2.8 1.2 0.2 0.0 0.1 0.2 1.5 1.2 0.0 -0.1 2.1 4.7 3.1 0.7 0.8 – 2.3 0.5 0.9 4.2 0.4 0.5

0.7 2.0 4.0 – 0.6 – 1.7 3.7 0.3 0.2 3.1 1.5 2.8 2.5 0.6 2.6 -0.2 2.5 1.3 5.7 1.9 2.0 2.8 1.3 2.0 1.6 1.1 0.0 3.5 1.8 0.5 2.8 1.2 0.4 1.8 1.4 1.8 2.0 1.0 – 2.4 2.2 1.3 0.9 2.5 2.3

4.0

2.4

1.9

2.6

1.5

6.4 2.1 7.4 – 6.2 6.3 6.2 6.4 5.7 6.6 2.1 6.8 4.5 1.9

6.7 1.7 6.2 – 3.3 3.7 4.4 3.7 5.9 6.2 1.9 6.8 3.4 1.7

6.7 1.8 4.0 – 2.8 2.6 2.9 2.7 5.4 5.1 1.5 5.3 2.8 1.8

-0.3 1.2 0.9 – 3.1 2.7 1.7 2.7 -0.2 0.3 0.4 0.0 1.5 0.3

0.0 -0.5 2.5 – 0.9 2.0 2.4 1.8 0.5 1.2 1.6 1.4 1.2 -0.2

…TABLE 10

France Gabon Gambia Georgia Germany Ghana Greece Grenada Guatemala Guinea Guinea-Bissau Guyana Haiti Holy See Honduras Hungary Iceland India Indonesia Iran (Islamic Republic of) Iraq Ireland Israel Italy Jamaica Japan Jordan Kazakhstan Kenya Kiribati Kuwait Kyrgyzstan Lao People’s Democratic Republic Latvia Lebanon Lesotho Liberia Libyan Arab Jamahiriya Liechtenstein Lithuania Luxembourg Madagascar Malawi Malaysia Maldives Mali Malta Marshall Islands Mauritania Mauritius Mexico Micronesia (Federated States of) Moldova Monaco Mongolia Montenegro Morocco Mozambique Myanmar Namibia Nauru

Under-5 mortality rate

Average annual rate of reduction (%)Θ

GDP per capita average annual growth rate (%)

Total fertility rate

Average annual rate of reduction (%)

Under-5 mortality rank

1970

1990

2007

1970

1990

2007

173 40 34 88 173 30 173 114 71 17 5 59 47 – 99 156 189 49 86 83 66 173 166 173 86 173 99 84 26 57 140 73

18 – 311 – 26 183 32 – 168 326 – – 222 – 169 40 16 190 172 191 125 23 29 33 62 17 107 88 156 – 59 –

9 92 153 47 9 120 11 37 82 231 240 88 152 – 58 17 7 117 91 72 53 9 12 10 33 6 40 60 97 88 15 74

4 91 109 30 4 115 4 19 39 150 198 60 76 – 24 7 3 72 31 33 44 4 5 4 31 4 24 32 121 63 11 38

3.5 – 3.5 – 5.3 2.1 5.3 – 3.6 1.7 – – 1.9 – 5.3 4.3 4.1 2.4 3.2 4.9 4.3 4.7 4.4 6.0 3.2 5.2 4.9 1.9 2.4 – 6.8 –

4.8 0.1 2.0 2.6 4.8 0.3 6.0 3.9 4.4 2.5 1.1 2.3 4.1 – 5.2 5.2 5.0 2.9 6.3 4.6 1.1 4.8 5.1 5.4 0.4 2.4 3.0 3.7 -1.3 2.0 1.8 3.9

56 1 29 36 56 4 64 49 52 35 18 32 50 – 59 59 57 38 66 54 17 56 58 60 6 33 40 47 -25 28 27 49

2.2 0.3 0.9 3.2 2.3x -2.1 1.3 4.9 0.2 0.3x -0.2 -1.5 -0.3 – 0.8 3 3.2 2.1 4.7 -2.3 – 2.8 1.9 2.8 -1.3 3 2.5x – 1.2 -5.3 -6.8x –

1.6 -0.7 0.2 1.8 1.4 2.1 2.7 2.5 1.4 1.3 -2.6 3.1 -2.1 – 1.5 3.3 2.4 4.5 2.3 2.5 – 5.8 1.7 1.2 0.8 0.9 2 3.2 0 1.8 1.1x -0.5

2.5 4.8 6.7 2.6 2.0 6.7 2.4 4.6 6.2 7.0 6.8 5.6 5.8 – 7.3 2.0 3.0 5.4 5.5 6.6 7.2 3.9 3.8 2.4 5.5 2.1 7.9 3.5 8.1 – 7.2 4.9

1.8 4.8 6.0 2.1 1.4 5.8 1.4 3.7 5.6 6.7 7.1 2.6 5.4 – 5.1 1.8 2.2 4.0 3.1 5.0 5.9 2.1 3.0 1.3 2.9 1.6 5.5 2.8 5.9 – 3.5 3.9

1.9 3.1 4.8 1.4 1.4 3.9 1.3 2.3 4.2 5.5 7.1 2.3 3.6 – 3.3 1.3 2.0 2.8 2.2 2.0 4.3 2.0 2.8 1.4 2.5 1.3 3.1 2.3 5.0 – 2.2 2.5

1.7 0.0 0.5 1.0 1.9 0.7 2.5 1.1 0.6 0.2 -0.2 3.8 0.3 – 1.7 0.6 1.6 1.5 2.8 1.3 1.0 3.1 1.2 3.1 3.1 1.3 1.8 1.1 1.6 – 3.6 1.2

-0.5 2.6 1.4 2.4 0.0 2.3 0.5 2.8 1.7 1.2 0.0 0.6 2.5 – 2.5 2.0 0.3 2.0 2.1 5.3 1.9 0.4 0.4 -0.3 1.1 1.3 3.3 1.3 1.0 – 2.8 2.7

50 148 91 45 20 117 189 151 189 32 33 140 88 6 166 64 27 126 78

218 20 54 171 284 160 – 22 23 180 334 70 – 372 28 – 233 86 111

163 17 37 102 205 41 10 16 9 168 209 22 111 250 11 92 130 24 52

70 9 29 84 133 18 3 8 3 112 111 11 30 196 5 54 119 15 35

1.5 0.8 1.9 2.6 1.6 6.8 – 1.6 4.7 0.3 2.3 5.8 – 2.0 4.7 – 2.9 6.4 3.8

5.0 3.7 1.4 1.1 2.5 4.8 7.1 4.1 6.5 2.4 3.7 4.1 7.7 1.4 4.6 3.1 0.5 2.8 2.3

57 47 22 18 35 56 70 50 67 33 47 50 73 22 55 41 8 38 33

– 3.4 – 3.1 -4.2 -4.9x – – 2.7 -2.4 -0.1 4 – -0.3 6.5 – -0.9 5.1x 1.6

4.2 4.7 2.5 1.8 1.9 – – 3 3.2 -0.4 0.3 3.2 5.5x 2.2 2.7x -2 0.6 3.7 1.6

6.4 1.9 5.1 5.8 6.9 7.6 – 2.3 2.0 6.8 7.3 5.6 7.0 7.5 2.1 – 6.6 3.7 6.7

6.2 1.9 3.1 4.9 6.9 4.8 – 2.0 1.6 6.2 7.0 3.7 6.2 7.4 2.0 – 5.8 2.2 3.4

3.2 1.3 2.2 3.4 6.8 2.8 – 1.3 1.7 4.8 5.6 2.6 2.6 6.5 1.4 – 4.4 1.9 2.2

0.2 0.0 2.4 0.8 0.0 2.3 – 0.7 1.1 0.4 0.2 2.0 0.6 0.0 0.0 – 0.6 2.5 3.4

3.9 2.3 2.1 2.2 0.1 3.3 – 2.7 -0.3 1.5 1.2 2.1 5.1 0.8 2.4 – 1.6 1.1 2.5

69 117 173 67 145 81 14 36 53 88

– 65 – – – 184 277 179 126 –

58 37 9 98 16 89 201 130 87 –

40 18 4 43 10 34 168 103 68 30

– 2.8 – – – 3.6 1.6 1.6 1.9 –

2.2 4.2 4.8 4.8 2.8 5.7 1.1 1.4 1.4 –

31 51 56 56 38 62 16 21 22 –

– 1.8x – – – 2 -1x 1.5 -2.3x –

-0.2 -1.3 – 2.2 3.4x 2 4.1 6.8x 1.8 –

6.9 2.6 – 7.5 2.4 7.1 6.6 6.1 6.5 –

5.0 2.4 – 4.1 2.0 4.0 6.2 3.4 5.8 –

3.8 1.4 – 1.9 1.8 2.4 5.2 2.1 3.2 –

1.7 0.3 – 3.0 0.9 2.8 0.3 2.8 0.5 –

1.6 3.2 – 4.6 0.6 3.1 1.1 3.0 3.5 –

1970–1990 1990–2007

Reduction since 1990 (%)Θ

1970–1990 1990–2007

1970–1990 1990–2007

S TAT I S T I C A L TA B L E S

155

TABLE 10. THE RATE OF PROGRESS

Nepal Netherlands New Zealand Nicaragua Niger Nigeria Niue Norway Occupied Palestinian Territory Oman Pakistan Palau Panama Papua New Guinea Paraguay Peru Philippines Poland Portugal Qatar Republic of Korea Romania Russian Federation Rwanda Saint Kitts and Nevis Saint Lucia Saint Vincent and the Grenadines Samoa San Marino Sao Tome and Principe Saudi Arabia Senegal Serbia Seychelles Sierra Leone Singapore Slovakia Slovenia Solomon Islands Somalia South Africa Spain Sri Lanka Sudan Suriname Swaziland Sweden Switzerland Syrian Arab Republic Tajikistan Thailand The former Yugoslav Republic of Macedonia Timor-Leste Togo Tonga Trinidad and Tobago Tunisia Turkey Turkmenistan

156

Under-5 mortality rate

Average annual rate of reduction (%)Θ

GDP per capita average annual growth rate (%)

Total fertility rate

Average annual rate of reduction (%)

Under-5 mortality rank

1970

1990

2007

1970

1990

2007

62 166 160 78 11 8 – 173 95 137 43 145 104 56 91 112 94 156 173 126 166 126 126 9 117 117

237 16 21 165 318 265 – 16 – 200 184 – 68 156 75 170 89 35 66 51 54 52 40 223 – 66

142 8 11 68 304 230 – 9 38 32 132 21 34 94 41 78 62 17 15 26 9 32 27 195 36 21

55 5 6 35 176 189 – 4 27 12 90 10 23 65 29 20 28 7 4 15 5 15 15 181 18 18

2.6 3.5 3.2 4.4 0.2 0.7 – 2.9 – 9.2 1.7 – 3.5 2.5 3.0 3.9 1.8 3.6 7.4 3.4 9.0 2.4 2.0 0.7 – 5.7

5.6 2.8 3.6 3.9 3.2 1.2 – 4.8 2.0 5.8 2.3 4.4 2.3 2.2 2.0 8.0 4.7 5.2 7.8 3.2 3.5 4.5 3.5 0.4 4.1 0.9

61 38 45 49 42 18 – 56 29 63 32 52 32 31 29 74 55 59 73 42 44 53 44 7 50 14

1.2 1.5 0.8 -3.7 -2.2 -1.4 – 3.2 – 3.3 3 – 0.3 -0.7 2.8 -0.6 0.8 – 2.6 – 6.2 0.9x – 1.1 6.3x 5.3x

1.9 2.1 2 1.9 -0.6 1.2 – 2.6 -2.9x 2.2x 1.6 – 2.6 -0.6 -0.3 2.7 1.7 4.4 1.9 – 4.4 2.3 1.2 1.1 2.8 1.3

5.9 2.4 3.1 6.9 8.1 6.9 – 2.5 7.9 7.2 6.6 – 5.3 6.2 5.7 6.3 6.3 2.2 2.8 6.9 4.5 2.9 2.0 8.2 – 6.1

5.2 1.6 2.1 4.8 7.9 6.8 – 1.9 6.4 6.6 6.3 – 3.0 4.8 4.5 3.9 4.3 2.0 1.5 4.4 1.6 1.9 1.9 7.6 – 3.3

3.3 1.7 2.0 2.8 7.2 5.4 – 1.8 5.2 3.0 3.5 – 2.6 3.8 3.1 2.5 3.3 1.2 1.5 2.7 1.2 1.3 1.3 5.9 – 2.2

0.6 2.2 2.0 1.9 0.1 0.1 – 1.5 1.0 0.4 0.2 – 2.8 1.2 1.2 2.4 1.8 0.4 3.0 2.3 5.2 2.0 0.3 0.4 – 3.0

2.6 -0.6 0.2 3.2 0.5 1.3 – 0.1 1.3 4.6 3.4 – 0.9 1.3 2.2 2.6 1.7 3.0 0.3 2.9 1.7 2.3 2.0 1.5 – 2.5

114 95 173 38 97 31 151 134 1 189 151 173 50 19 60 173 110 34 91 40 189 166 123 54 156

72 101 – 104 185 276 – 59 371 27 31 29 – – 113 25 100 168 – 199 13 18 128 138 103

22 50 13 101 44 149 – 19 290 8 15 11 121 203 64 9 32 125 51 96 7 8 37 117 31

19 27 4 99 25 114 8 13 262 3 8 4 70 142 59 4 21 109 29 91 3 5 17 67 7

5.9 3.5 – 0.1 7.2 3.1 – 5.7 1.2 6.1 3.6 4.8 – – 2.8 5.1 5.7 1.5 – 3.6 3.1 4.1 6.2 0.8 6.0

0.9 3.6 6.9 0.1 3.3 1.6 – 2.2 0.6 5.8 3.7 6.0 3.2 2.1 0.5 4.8 2.5 0.8 3.3 0.3 5.0 2.8 4.6 3.3 8.8

14 46 69 2 43 23 – 32 10 63 47 64 42 30 8 56 34 13 43 5 57 38 54 43 77

3.3 – – – -1.5 -0.7 – 2.9 -0.4 5.6 – – 3.4 -0.9 0.1 1.9 3 0.1 -2.4x 3.1 1.8 1.2 2 – 5

3 2.6 – – 0.3 1.1 2.6x 1.4 -0.4 3.8 3.3 3.5 -1.6 – 1 2.4 3.9 3.6 1.8 -0.3 2.2 0.7 1.5 -2.2 2.9

6.0 6.1 – 6.5 7.3 7.0 2.4 – 6.5 3.0 2.5 2.3 6.9 7.3 5.6 2.9 4.4 6.6 5.7 6.9 2.0 2.0 7.6 6.9 5.5

3.0 4.8 – 5.4 5.8 6.6 2.1 – 6.5 1.8 2.0 1.5 5.9 6.8 3.6 1.3 2.5 6.0 2.7 5.7 2.0 1.5 5.5 5.2 2.1

2.2 4.0 – 3.9 3.4 4.7 1.8 – 6.5 1.3 1.2 1.3 3.9 6.1 2.7 1.4 1.9 4.3 2.4 3.5 1.8 1.4 3.1 3.4 1.8

3.5 1.2 – 0.9 1.1 0.3 0.6 – 0.0 2.7 1.0 2.0 0.8 0.3 2.2 3.9 2.7 0.5 3.6 0.9 0.1 1.4 1.6 1.4 4.8

1.8 1.0 – 1.9 3.2 1.9 1.0 – 0.0 1.9 2.9 1.0 2.4 0.6 1.7 -0.2 1.7 1.9 0.7 2.9 0.7 0.5 3.4 2.5 0.8

123 39 37 104 78 110 104 65

119 – 219 50 54 201 201 –

38 184 150 32 34 52 82 99

17 97 100 23 35 21 23 50

5.7 – 1.9 2.2 2.3 6.8 4.5 –

4.7 3.8 2.4 1.9 -0.2 5.3 7.5 4.0

55 47 33 28 -3 60 72 49

– – -0.6 – 0.5 2.5 1.9 –

0.5 – -0.2 2 5.1 3.4 2.2 -6.8x

3.2 6.3 7.0 5.9 3.5 6.6 5.5 6.3

1.9 5.3 6.4 4.6 2.4 3.6 3.0 4.3

1.4 6.6 4.9 3.8 1.6 1.9 2.1 2.5

2.4 0.8 0.5 1.3 1.8 3.0 3.0 1.9

1.8 -1.2 1.6 1.2 2.4 3.7 2.1 3.2

1970–1990 1990–2007

T H E S TAT E O F T H E W O R L D ’ S C H I L D R E N 2 0 0 9

Reduction since 1990 (%)Θ

1970–1990 1990–2007

1970–1990 1990–2007

…TABLE 10

Tuvalu Uganda Ukraine United Arab Emirates United Kingdom United Republic of Tanzania United States Uruguay Uzbekistan Vanuatu Venezuela (Bolivarian Republic of) Viet Nam Yemen Zambia Zimbabwe

Under-5 mortality rate

Average annual rate of reduction (%)Θ

GDP per capita average annual growth rate (%)

Total fertility rate

Average annual rate of reduction (%)

Under-5 mortality rank

1970

1990

2007

1970

1990

2007

75 21 99 151 160 29 151 132 68 81

– 195 36 84 21 217 23 60 – 155

53 175 25 15 9 157 11 25 74 62

37 130 24 8 6 116 8 14 41 34

– 0.5 1.8 8.6 4.2 1.6 3.7 4.4 – 4.6

2.1 1.7 0.2 3.7 2.4 1.8 1.9 3.4 3.5 3.5

30 26 4 47 33 26 27 44 45 45

– – – -4.8x 2 – 2.2 0.9 – 1.1x

– 3.1 -0.7 -0.3x 2.4 1.8 2 1.5 1.2 -0.4

– 7.1 2.1 6.6 2.3 6.8 2.2 2.9 6.5 6.3

– 7.1 1.9 4.4 1.8 6.1 2.0 2.5 4.2 4.9

– 6.5 1.2 2.3 1.8 5.2 2.1 2.1 2.5 3.8

– 0.0 0.6 2.1 1.2 0.5 0.6 0.7 2.2 1.2

– 0.5 2.6 3.8 0.0 0.9 -0.2 1.0 3.0 1.6

114 126 48 13 43

62 85 309 179 131

32 56 127 163 95

19 15 73 170 90

3.3 2.1 4.4 0.5 1.6

3.1 7.7 3.3 -0.2 0.3

41 73 43 -4 5

-1.6 – – -2.3 -0.4

-0.2 6 1.6 0.1 -2.1x

5.4 7.0 8.6 7.4 7.4

3.4 3.7 8.1 6.5 5.2

2.6 2.2 5.5 5.2 3.2

2.2 3.2 0.3 0.7 1.8

1.7 3.2 2.2 1.2 2.8

232 202 260 195 197 121 122 91 24 162 241 143

186 165 206 79 125 56 55 53 10 103 179 93

148 123 169 46 78 27 26 25 6 74 130 68

1.1 1.0 1.2 4.5 2.3 3.9 4.0 2.7 4.4 2.3 1.5 2.2

1.3 1.7 1.2 3.2 2.8 4.3 4.4 4.4 3.0 1.9 1.9 1.8

20 25 18 42 38 52 53 53 40 28 27 27

-0.1 – -0.6 -0.1 2.1 5.7 1.4 – 2.3 2.4 -0.2 2.3

1.3 1.4 1.3 1.6 4.1 6.8 1.5 1.6 1.9 4 2.5 2.4

6.8 6.8 6.8 6.8 5.7 5.6 5.3 2.8 2.3 5.8 6.7 4.7

6.3 6.0 6.6 5.0 4.3 2.5 3.2 2.3 1.7 3.6 5.8 3.2

5.2 4.9 5.5 3.0 3.0 1.9 2.4 1.7 1.7 2.8 4.7 2.6

0.4 0.6 0.1 1.5 1.4 4.1 2.5 0.9 1.3 2.3 0.7 1.9

1.1 1.2 1.1 3.0 2.2 1.6 1.8 1.9 0.2 1.6 1.3 1.3

1970–1990 1990–2007

Reduction since 1990 (%)Θ

1970–1990 1990–2007

1970–1990 1990–2007

SUMMARY INDICATORS Sub-Saharan Africa Eastern and Southern Africa West and Central Africa Middle East and North Africa South Asia East Asia and Pacific Latin America and Caribbean CEE/CIS Industrialized countries§ Developing countries§ Least developed countries§ World

§ Also includes territories within each country category or regional group. Countries and territories in each country category or regional group are listed on page 152.

DEFINITIONS OF THE INDICATORS

MAIN DATA SOURCES

Under-five mortality rate – Probability of dying between birth and exactly five years of age, expressed per 1,000 live births.

Under-five mortality rate – UNICEF, United Nations Population Division and United Nations Statistics Division.

Reduction since 1990 (%) – Percentage reduction in the under-five mortality rate (U5MR) from 1990 to 2007. The United Nations Millennium Declaration in 2000 established a goal of a twothirds (67 per cent) reduction in U5MR from 1990 to 2015. This indicator provides a current assessment of progress towards this goal.

GDP per capita – World Bank. Fertility – United Nations Population Division.

GDP per capita – Gross domestic product (GDP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output. GDP per capita is gross domestic product divided by midyear population. Growth is calculated from constant price GDP data in local currency. Total fertility rate – Number of children who would be born per woman if she lived to the end of her childbearing years and bore children at each age in accordance with prevailing age-specific fertility rates.

NOTES

– x Θ

Data not available. Data refer to years or periods other than those specified in the column heading, differ from the standard definition or refer to only part of a country. Such data are not included in the calculation of regional and global averages. A negative value indicates an increase in the under-five mortality rate since 1990.

S TAT I S T I C A L TA B L E S

157

Acronyms ACSD

Accelerated Child Survival and Development

MICS

Multiple Indicator Cluster Surveys

AIDS

acquired immune deficiency syndrome

OECD

Organisation of Economic Co-operation and Development

EmOC

emergency obstetric care

PMTCT

prevention of mother-to-child transmission (of HIV)

FGM/C

female genital mutilation/cutting

GDP

gross domestic product

UN SG

United Nations Secretary-General

HIV

human immunodeficiency virus

UNAIDS

Joint United Nations Programme on HIV/AIDS

HMN

Health Metrics Network

UNESCO

United Nations Educational, Scientific and Cultural Organization

IMCI

Integrated Management of Childhood Illness

UNFPA

United Nations Population Fund

UNICEF

United Nations Children’s Fund

WHO

World Health Organization

IMNCH

Integrated Management of Newborn and Child Health

MDG

Millennium Development Goal

158

T H E S TAT E O F T H E W O R L D ’ S C H I L D R E N 2 0 0 9

UNICEF Offices UNICEF Headquarters UNICEF House 3 United Nations Plaza New York, NY 10017, USA UNICEF Regional Office for Europe Palais des Nations CH-1211 Geneva 10, Switzerland UNICEF Central and Eastern Europe/ Commonwealth of Independent States Regional Office Palais des Nations CH-1211 Geneva 10, Switzerland UNICEF Eastern and Southern Africa Regional Office United Nations Complex Gigiri P.O. Box 44145-00100 Nairobi, Kenya UNICEF West and Central Africa Regional Office P.O. Box 29720 Yoff Dakar, Senegal

UNICEF The Americas and Caribbean Regional Office Avenida Morse Ciudad del Saber Clayton Edificio #102 Apartado 0843-03045 Panama City, Panama UNICEF East Asia and the Pacific Regional Office P.O. Box 2-154 19 Phra Atit Road Bangkok 10200, Thailand UNICEF Middle East and North Africa Regional Office P.O. Box 1551 Amman 11821, Jordan UNICEF South Asia Regional Office P.O. Box 5815 Lekhnath Marg Kathmandu, Nepal Further information is available at our website <www.unicef.org>.

United Nations Children’s Fund 3 United Nations Plaza New York, NY 10017, USA Email: [email protected] Website: www.unicef.org US $25.00 UK £12.10 €16.80 ISBN: 978-92-806-4318-3 Sales no.: E.09.XX.1 © United Nations Children’s Fund (UNICEF) December 2008